CN105763917B - A kind of control method and system of terminal booting - Google Patents

A kind of control method and system of terminal booting Download PDF

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Publication number
CN105763917B
CN105763917B CN201610093570.9A CN201610093570A CN105763917B CN 105763917 B CN105763917 B CN 105763917B CN 201610093570 A CN201610093570 A CN 201610093570A CN 105763917 B CN105763917 B CN 105763917B
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image
pixel
camera
human body
dimensional image
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CN105763917A (en
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刘兴瑞
仲维
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Vidaa Netherlands International Holdings BV
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Qingdao Hisense Electronics Co Ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/41Structure of client; Structure of client peripherals
    • H04N21/422Input-only peripherals, i.e. input devices connected to specially adapted client devices, e.g. global positioning system [GPS]
    • H04N21/4223Cameras
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N13/00Stereoscopic video systems; Multi-view video systems; Details thereof
    • H04N13/20Image signal generators
    • H04N13/204Image signal generators using stereoscopic image cameras
    • H04N13/239Image signal generators using stereoscopic image cameras using two 2D image sensors having a relative position equal to or related to the interocular distance
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/41Structure of client; Structure of client peripherals
    • H04N21/422Input-only peripherals, i.e. input devices connected to specially adapted client devices, e.g. global positioning system [GPS]
    • H04N21/42201Input-only peripherals, i.e. input devices connected to specially adapted client devices, e.g. global positioning system [GPS] biosensors, e.g. heat sensor for presence detection, EEG sensors or any limb activity sensors worn by the user
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/43Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
    • H04N21/431Generation of visual interfaces for content selection or interaction; Content or additional data rendering
    • H04N21/4312Generation of visual interfaces for content selection or interaction; Content or additional data rendering involving specific graphical features, e.g. screen layout, special fonts or colors, blinking icons, highlights or animations
    • H04N21/4314Generation of visual interfaces for content selection or interaction; Content or additional data rendering involving specific graphical features, e.g. screen layout, special fonts or colors, blinking icons, highlights or animations for fitting data in a restricted space on the screen, e.g. EPG data in a rectangular grid
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/43Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
    • H04N21/441Acquiring end-user identification, e.g. using personal code sent by the remote control or by inserting a card
    • H04N21/4415Acquiring end-user identification, e.g. using personal code sent by the remote control or by inserting a card using biometric characteristics of the user, e.g. by voice recognition or fingerprint scanning

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  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Health & Medical Sciences (AREA)
  • Biomedical Technology (AREA)
  • General Health & Medical Sciences (AREA)
  • Human Computer Interaction (AREA)
  • Theoretical Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Biophysics (AREA)
  • Neurosurgery (AREA)
  • Image Analysis (AREA)

Abstract

The embodiment of the invention provides the control methods and system of a kind of booting of terminal, it is related to electronic technology field, precision to make up current infrared detection user Auto Power On technology is low, it is easy the technological deficiencies such as affected by environment, the image comprising human body including shooting each shooting time in N number of shooting time in preset time, the first camera and second camera simultaneously respectively synthesizes N number of three-dimensional image;Extract the human body contour outline in three-dimensional image corresponding with the first image, wherein the first image is any one image of the shooting of the first camera described in N number of shooting time;On three-dimensional image corresponding with the first image, range information corresponding at least one pixel in the human body contour outline is obtained;Whether compare the difference between the corresponding range information of at least one pixel that each three-dimensional image determines in N number of three-dimensional image in preset threshold range;If so, generating power-on instruction, and opened according to the power-on instruction controlling terminal.

Description

A kind of control method and system of terminal booting
Technical field
The present invention relates to control methods and system that electronic technology field more particularly to a kind of terminal are switched on.
Background technique
With the raising of universal and TV programme the content and quality of television set, see that TV has increasingly becomed people and stopped The major way of spare time amusement, while requirement of the user to TV is also higher and higher.Although with integrating for television set intelligently, The audiovisual experience of high quality can be provided for user, but still be unable to satisfy the demand of user.User experience is improved, also becomes each The target of television manufacturer.Auto Power On system, the user experience point important as one, is also increasingly being the phase of user To.Auto Power On system can remove user from and need first to find TV remote controller, and hand-held remote controller issues booting to TV and refers to The worry of order, is greatly improved user experience.Especially when user's both hands all hold article, can not free hand to manipulate again distant In the case that control device boots up, Auto Power On system is even more to greatly improve user experience.In existing technology, Shenzhen Whether TCL Technew SA has user to detect by the way of infrared detection to before television set, and control electricity according to this Depending on the on-off of switching circuit.(patent document: CN101287086).The technology is in standby when television set, and is detected When unit detects the signal that televiewer's human body issues, then television set Auto Power On is controlled.
Although whether the invention is to having spectators to be detected, however due to carrying out user by the way of infrared detection Perception, it is small to will appear detection range in the realistic case, affected by environment big and can not accurately identify etc. to user The bottleneck and defect being difficult to avoid that.On the one hand, infrared detection module, fingerprint identification module is highly susceptible to various heat sources, the interference of light source.Meanwhile Since infrared penetration power is poor, the infra-red radiation of human body is easily blocked, and is not easy to be received by sensor.When environment temperature and human temperature When spending close, the sensitivity of detection is decreased obviously, and will cause failure in short-term.In addition, rate of false alarm and the installation position of infrared detector It sets and mode has very big relationship, need far from air-conditioning, the place of the air temperature variations sensitivity such as refrigerator, and house must not be spaced Tool, the spacers such as potted landscape.Above-mentioned application limitation strongly limits smart television putting and using in a home environment, gives user Great limitation is caused, user experience has been seriously affected.
Summary of the invention
The embodiment of the present invention provides the control method and system of a kind of terminal booting, is particularly suitable for the intelligence such as TV eventually End, low by precision caused by infrared detection control television startup at present to make up, detection range is small, is easy by environment shadow It rings and causes the technological deficiencies such as power-on instruction identification inaccuracy.
In order to achieve the above objectives, the embodiment of the present invention adopts the following technical scheme that
In a first aspect, the embodiment of the invention provides a kind of control methods of terminal booting, comprising:
Each shooting time, the first camera and second camera in N number of shooting time in preset time is same respectively When the image comprising human body that shoots synthesize N number of three-dimensional image;
Extract the human body contour outline in three-dimensional image corresponding with the first image, wherein the first image is N number of bat Take the photograph any one image of the shooting of the first camera described in the moment;
On three-dimensional image corresponding with the first image, obtain and at least one pixel in the human body contour outline The corresponding range information of point;
It is corresponding to compare the pixel of at least one that each three-dimensional image determines in N number of three-dimensional image Whether the difference between range information is in preset threshold range;
If so, generating power-on instruction, and opened according to the power-on instruction controlling terminal.
Second aspect, the embodiment of the invention provides a kind of control systems of terminal booting, comprising: is arranged in parallel in described The first camera and second camera in terminal operate in image processing system on the terminal handler, image recognition System and execution system;
Wherein, first camera and second camera are in same horizontal line;
First camera and second camera, for shooting at least one image comprising human body in preset time;
Described image processing system, for taking the photograph each shooting time in N number of shooting time in preset time, first The image comprising human body shot simultaneously respectively as head and second camera synthesizes N number of three-dimensional image;
Described image identifying system, for extracting the human body contour outline in the corresponding three-dimensional image of the first image, wherein The first image is any one image of the shooting of the first camera described in N number of shooting time;
On three-dimensional image corresponding with the first image, obtain and at least one pixel in the human body contour outline The corresponding range information of point;
Compare each three-dimensional image determines in N number of three-dimensional image at least one pixel it is corresponding away from From the difference between information whether in preset threshold range;
The execution system is controlled for when the judgment result is yes, generating power-on instruction, and according to the power-on instruction Terminal is opened.
The embodiment of the present invention provides a kind of terminal start-up control method and system, by imaging the first camera and second At least one image synthesis three-dimensional image comprising human body that head synchronization is shot respectively, and based on first camera shooting The corresponding distance letter of at least one pixel in human body contour outline is obtained on the corresponding three-dimensional image of two dimensional image of head shooting Breath, whether the difference between range information that the pixel of N number of three-dimensional image more described later determines is in preset threshold Range, before can determine whether user is in terminal by the comparison result, and if N number of range information difference certain In threshold range, then illustrates the position of user and do not have jump at a distance from terminal relatively, such as can determine whether out that user is No to be look at TV and kept for a period of time, the opposite accuracy for improving identification user location and generating power-on instruction, that is, exist When the difference of multiple range information meets preset threshold range, it may be determined that user has the intention of viewing terminal such as TV, goes forward side by side The generation power-on instruction of one step, controlling terminal are opened, and compared with prior art, whether useful eliminate infrared detection technology perception Mode existing for family is easy the problems such as by surrounding environment influence, accuracy of identification and poor sensitivity, the controlling party of this terminal booting Method and system pass through the ranging of dual camera three-dimensional information and combine human bioequivalence algorithm, it may be determined that the booting of user is intended to, automatically Controlling terminal is opened, while ensuring high real-time, high-precision, increases substantially the manipulation experience of user.
Detailed description of the invention
In order to illustrate the technical solution of the embodiments of the present invention more clearly, below will be in embodiment or description of the prior art Required attached drawing is briefly described, it should be apparent that, the accompanying drawings in the following description is only some realities of the invention Example is applied, it for those of ordinary skill in the art, without creative efforts, can also be according to these attached drawings Obtain other attached drawings.
Fig. 1 is a kind of flow diagram one of the control method of terminal booting of the embodiment of the present invention;
Fig. 2 is a kind of flow diagram two of the control method of terminal booting of the embodiment of the present invention;
Fig. 3 a is the schematic diagram that any one pixel is center pixel establishes preset window in the second image;
Fig. 3 b is that any one pixel is that center pixel establishes preset window and third image carries out in the second image Matched schematic diagram;
Fig. 3 c is that any one pixel is that center pixel establishes preset window and third images match in the second image Result schematic diagram;
Fig. 4 is a kind of flow diagram three of the control method of terminal booting of the embodiment of the present invention;
Fig. 5 is the structural schematic diagram one for the control system that a kind of terminal of the embodiment of the present invention is switched on;
Fig. 6 is the structural schematic diagram two for the control system that a kind of terminal of the embodiment of the present invention is switched on.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other Embodiment shall fall within the protection scope of the present invention.
The embodiment of the present invention provides a kind of control method of terminal booting, as shown in Figure 1, comprising:
S101, by each shooting time in N number of shooting time in preset time, the first camera and second camera The image comprising gesture operation of shooting simultaneously synthesizes N number of three-dimensional image respectively;
S102, human body contour outline in corresponding with the first image three-dimensional image is extracted, wherein the first image is Any one image of the shooting of the first camera described in N number of shooting time;
S103, on three-dimensional image corresponding with the first image, obtain with the human body contour outline at least one The corresponding range information of a pixel;
At least one pixel pair that each three-dimensional image determines in N number of three-dimensional image described in S104, comparison Whether the difference between range information answered is in preset threshold range;
S105, if so, generate power-on instruction, and according to the power-on instruction controlling terminal open.
The embodiment of the present invention provides a kind of terminal start-up control method and system, by imaging the first camera and second At least one image synthesis three-dimensional image comprising human body that head synchronization is shot respectively, and based on first camera shooting The corresponding distance letter of at least one pixel in human body contour outline is obtained on the corresponding three-dimensional image of two dimensional image of head shooting Breath, whether the difference between range information that the pixel of N number of three-dimensional image more described later determines is in preset threshold Range, before can determine whether user is in terminal by the comparison result, and if N number of range information difference certain In threshold range, then illustrates the position of user and do not have jump at a distance from terminal relatively, such as can determine whether out that user is No to be look at TV and kept for a period of time, the opposite accuracy for improving identification user location and generating power-on instruction, that is, exist When the difference of multiple range information meets preset threshold range, it may be determined that user has the intention of viewing terminal such as TV, goes forward side by side The generation power-on instruction of one step, controlling terminal are opened, and compared with prior art, whether useful eliminate infrared detection technology perception Mode existing for family is easy the problems such as by surrounding environment influence, accuracy of identification and poor sensitivity, the controlling party of this terminal booting Method and system pass through the ranging of dual camera three-dimensional information and combine human bioequivalence algorithm, it may be determined that the booting of user is intended to, automatically Controlling terminal is opened, while ensuring high real-time, high-precision, increases substantially the manipulation experience of user.
A kind of executing subject of the control method of terminal booting of the embodiment of the present invention is the processor of terminal, which can Think TV, computer etc., the embodiment of the present invention is not construed as limiting this, and first camera and second camera are for obtaining human body Image, first camera and second camera can be the camera being arranged at the terminal.
In the embodiment of the present invention, whether first camera and second camera induction user are before terminal, the first camera shooting Head and second camera can periodically shoot several photos and carry out human bioequivalence, if discovery user appears in camera Before, at least image comprising user's human body is obtained, user can be static, or it is mobile, in addition, use can also be passed through Family is manually entered the start information of the mobile controlling terminal of user, as user presses setting starting user's movement in terminal remote control The start button of identification technology, then after getting the enabled instruction of start button triggering, processor control described first is taken the photograph A mobile at least image is carried out as head and second camera obtain user.
Wherein, preset time, which refers to, needs to monitor user and carries out the time required for n times are shot, and preset time can also be with It is set in advance, such as can set 2s-5s for the preset time;Specifically can by the timer that is arranged in the processor with It realizes.Within the period of 2s-5s, the image containing human body that will acquire is buffered in the storage of terminal by the sequencing of acquisition It in device, when needing to identify, is obtained from memory by processor, since the first camera and second camera are in 1s It is interior to shoot 10 ~ 60 picture frames, it is preferred that be 25 ~ 30 picture frames, since the first camera and second camera are shot Human body may be a dynamic process, therefore each frame picture frame is discrepant, therefore when selection synthesizes three-dimensional image, The frame image shot by choosing the first camera and second camera in synchronization, the three-dimensional that can be avoided the formation of in this way Difference between stereo-picture and actual user's gesture improves identification accuracy.If user's selection stands still, the One second camera can only shoot within a preset time one or shoot multiple select one as subsequent identification process Input basis.
It wherein, optionally, within a preset time in total include M shooting time, each according to the shooting performance of camera The first camera of shooting time and second camera, which are all shot, photo, can choose the first camera described in M shooting time The M three-dimensional images of image synthesis comprising human body shot simultaneously respectively with second camera, can also choose N number of shooting The synthesis N of moment shooting opens three-dimensional images, wherein M >=N;
Image is a picture of camera shooting, and picture frame is then a series of figures being continuously shot in the set time Piece, image frame sequence are made of a series of images.
Certainly, selection synthesize three-dimensional image when, can choose several images that the first camera is continuously shot with And each image synthesizes three-dimensional image (wherein, second camera in several images being continuously shot of second camera The time of every image of shooting is corresponding in the photo of synchronization shooting with the first camera).
Wherein, include human body at least one that shoots the first camera and second camera in synchronization respectively Image synthesis three-dimensional image mode, be not belonging to primary object of the invention, there are a variety of realities in the prior art Existing mode, the embodiment of the present invention to this without limiting, due to for the first camera and second camera within a preset time The mode and principle of every image synthesis three-dimensional image of shooting are all the same, and the embodiment of the present invention is only with the second image and the It is illustrated for three images, wherein the second image and third image are respectively within a preset time by the first camera and the At least one in the image that synchronization is shot respectively of two cameras, and do not have any indicative meaning.
Illustratively, as shown in Fig. 2, step S101 can be accomplished by the following way,
S1011, each pixel for obtaining second image;
Wherein, for the concrete mode of each pixel of the second image of acquisition, details are not described herein for the embodiment of the present invention, It can be realized by the prior art, for example, particle filter.
After getting each pixel of the second image, coordinate can be arranged with second image and third image System, then each pixel on the second image and third image can be indicated with the form of coordinate, as shown in Figure 3a and Fig. 3 b Shown, there may also be other modes to corresponding pixel on the second image of uniquely tagged and third image, this hair certainly Details are not described herein for bright embodiment.
It should be noted that can also first extract the human body of second image when obtaining three-dimensional image Profile obtains each pixel in the human body contour outline of second image after extracting human body contour outline, is based on each institute The each pixel stated in human body contour outline executes step S1012, can be further improved accuracy of identification in this way, avoids vertical in three-dimensional Background or interference are introduced in body image.
S1012, preset window is established as center pixel using each pixel of second image;Wherein, described pre- If window includes the M pixel according to pre-determined distance, centered on the central pixel point;
Fig. 3 a is the schematic diagram that any one pixel is center pixel establishes preset window in the second image, is preset Window can extend L the central pixel point surrounding (upper and lower, left, by) is each by centered on the central pixel point The region that length unit is included, i.e., the described pre-determined distance are that then each pixel of above-mentioned M is with the central pixel point four to 2L All all pixels points respectively extended in the region that L length unit is included;The embodiment of the present invention to the specific size of the L not It is defined, the precision that can reach according to actual needs is set.
S1013, the pixel value for obtaining the preset window;
Due to including M pixel in preset window, therefore the pixel value of the preset window is M pixel gray value Summation, details are not described herein for the concrete mode embodiment of the present invention of the gray value of pixel each for calculating, for example, if described pre- It then include 5 in the preset window if window is by center pixel of any one pixel to each pixel of from left to right A pixel, the pixel value of the preset window are the summation of 5 pixel gray values.
S1014, according to the pixel value of the preset window, the picture with the preset window is extracted from the third image The element value the smallest region of difference value is target area, as shown in Figure 3b;
Due to establishing preset window for the second each pixel of image kind, and according to the pixel value of preset window from described The mode and principle for the target area found in third image are all the same, thus the embodiment of the present invention only by taking the first pixel as an example into Row explanation, which is any one pixel in the second image, and does not have indicative meaning.
Illustratively, as shown in figure 4, step S1014 can be accomplished by the following way:
S10141, it determines coordinate of first pixel in second image, and is with first pixel The first preset window is established at center;As shown in Figure 3a;
S10142, in the case where keeping the first pixel ordinate constant, chosen from the third image every A candidate region, the window size of the candidate region is identical as the first preset window size, and the candidate region is It is established using any one pixel in the third image as center pixel, each pixel in the candidate region Ordinate is identical as the ordinate of first pixel;
Wherein, the window size or window distance of the candidate region refer to any one center pixel in candidate region Point, it is each in the central pixel point surrounding (upper and lower, left, by) centered on the central pixel point according to pre-determined distance 2L Extend the region that L length unit is included;
S10143, the pixel value for calculating each candidate region, the pixel value refer to all pixels in candidate region The sum of the gray value of point;
S10144, by the smallest candidate of difference value of the pixel value of the candidate region and the pixel value of the preset window Region is determined as target area.
Wherein, when getting the coordinate of the first pixel, first pixel can be directed toward the from third image First pixel in the case where keeping ordinate constant, is traversed any one of described third image by the direction of two images Pixel, and SAD (Sum of Absolute Difference) or SSD (Sum of Squared can be passed through Difference) algorithm matching mode is extracted the smallest with the value differences of preset window value from third image Region is target area, d point as shown in Figure 3c.
It certainly,, can be from the third image after the coordinate for getting the first pixel in order to reduce calculation amount It is identical as the first pixel ordinate, more than or equal to choosing target area in the candidate region of abscissa.
Certainly, the embodiment of the present invention can also be based on third image, chosen in the second image with it is any in third image The smallest region of value differences of the preset window of one pixel building is target area, at this point, should be according to the second image It is directed toward the direction of third image, in the case where keeping ordinate constant, each pixel in third image is constituted default Window traverses the candidate region of second image, to obtain target area.
S1015, the central pixel point for determining each target area;
S1016, the central pixel point of the central pixel point of each second image and the target area is carried out Match, obtains three-dimensional image corresponding with second image.
Preferably, in order to improve accuracy of identification, need to extract the human body contour outline in the first image, in this human body wheel On the basis of exterior feature, the Pixel Information of each pixel is obtained, and obtains corresponding pixel from three-dimensional image Range information since the human body of user should be at same plane, thus possesses similar pixel range information, therefore in identification Before, averaging operation can be carried out to the corresponding pixel of human body in three-dimensional image distance, so as to the human body in human body contour outline It is separated with interference informations such as backgrounds, thus the high-precision human body for extracting user.
Further, the human body contour outline extracted in the corresponding three-dimensional image of the first image, comprising:
S1021, the horizontal histogram that range information is established to three-dimensional image corresponding with the first image and longitudinal direction are straight Fang Tu;
S1022, the lines detection that least square method algorithm is carried out based on the horizontal histogram and longitudinal histogram Processing;
S1023, the lateral straight line with identical ordinate is extracted in by lines detection treated horizontal histogram, And longitudinal straight line with identical abscissa is extracted in longitudinal histogram.
S1024, the corresponding 3 dimensional drawing of the first image is obtained according to the lateral straight line and longitudinal straight line The human body contour outline of picture.
There are many modes extracted for human body contour outline, and details are not described herein for the embodiment of the present invention, illustratively, this method It can be realized by using eight neighborhood search method.
For step S104, at least one of each three-dimensional image determination in getting N number of three-dimensional image After the corresponding range information of pixel, need the difference between more N number of range information whether in preset threshold range, for example, In preset time 5 seconds, the first camera and second camera have taken 10 two dimensional images respectively, to each pair of youngster's two dimensional image It is synthesized to obtain three-dimensional image, the corresponding distance letter of 10 human body contour outlines can be finally got from three-dimensional image Breath, if the mutual difference of the numerical value of the distance of this 10 human body contour outlines in a preset threshold range, such as 10cm, then Show that user moves in a lesser scope of activities or static before terminal, that is, further demonstrates that user in terminal precedent As at least stopped before television set preset time 5 seconds, in this case, show that user has the intention of viewing TV.Then continue Execute S105 step.
Further, before step S105 generates power-on instruction further include:
S1041: eye recognition is carried out to the image comprising human body of N number of the first camera of shooting time shooting, obtains and uses The eye profile at family;
Eye recognition is carried out in two dimensional image, there are many implementations in existing technology, such as need to first Image carries out skin color segmentation;Edge detection is carried out to the first image after progress skin color segmentation;Further get user Eye profile.
S1042: the corresponding eye profile variations information of adjacent moment in N number of shooting time, and and people are identified frame by frame Eye feature database is matched, and the human eye feature library prestores the human eye action of user;
S1043: it is chosen and the adjacent the smallest people of human eye profile variations information gap from the human eye feature library Eye movement is used as target human eye action;
S1044: if the target human eye action meets preset power-on instruction requirement, power-on instruction is generated.
Assuming that user sleeps before television set, then the eye profile of user is always closure, can further judge to use at this time Family is not intended to see TV, then need not generate starting up's instruction.If user normally opens eyes before television set, in N number of bat It takes the photograph the moment, at least takes an eye profile when user opens one's eyes.
It, can be according to the human eye between the multiple adjacent two dimensional images got specifically when identifying the eye motion of user Profile variations information is by track algorithm, for example, joint probability data association filter (JPDAF), multiple hypotheis tracking (MHT) Algorithm, dynamic multidigit allocation algorithm etc. are matched with user's human eye action that human eye feature library prestores, to identify current use The corresponding target human eye action of family eye profile, such as eye opening or rapid eye movements etc., and execute corresponding to the target human eye action Operational order.Generate corresponding power-on instruction.For example, the human eye action that system identification goes out user is rapid eye movements, correspond to Target human eye action meet preset power-on instruction and require that (it may include quickly blinking that power-on instruction, which requires corresponding human eye action, Eye, opens eyes always, or normal open eyes shows that user is look at TV, and has booting wish), then after system identification, it can generate Corresponding power-on instruction.
Those skilled in the art should know, similar to automatic turn-on function, correspond to television auto power-off, still can be with It, by camera detection to user's rapid eye movements, may also indicate that suitable for the recognition methods if television set is in playing process User wishes closing television or makes television standby, then can transmit a signal to the power management module of TV at this time, execute pass Machine instruction.
The embodiment of the invention also provides a kind of control systems of terminal booting, as shown in figure 5, a kind of terminal booting Each function in control system is corresponding with the control method that terminal a kind of in the above embodiment of the present invention is switched on, specifically can be with With reference to the description of the above embodiment of the present invention, details are not described herein for the embodiment of the present invention.As shown in figure 5, a kind of terminal booting Control system, be applied to terminal 60, comprising: the first camera 601 and second camera 602 at the terminal is arranged in parallel, Operate in image processing system 603, image identification system 604 and the execution system 605 on the terminal handler;
Wherein, first camera 601 and the second camera shooting 602 are in same horizontal line;
First camera 601 and the second camera shooting 602, for shooting at least one figure comprising human body in preset time Picture;
Described image processing system 603, for by each shooting time in N number of shooting time in preset time, The image comprising human body that one camera and second camera are shot simultaneously respectively synthesizes N number of three-dimensional image;
Described image identifying system 604, for extracting the human body contour outline in the corresponding three-dimensional image of the first image, In, the first image is any one image of the shooting of the first camera described in N number of shooting time;
On three-dimensional image corresponding with the first image, obtain and at least one pixel in the human body contour outline The corresponding range information of point;
Compare each three-dimensional image determines in N number of three-dimensional image at least one pixel it is corresponding away from From the difference between information whether in preset threshold range;
The execution system 605, for when the judgment result is yes, generating power-on instruction, and according to the power-on instruction Controlling terminal is opened.
The embodiment of the present invention provides a kind of terminal opening control system, by the way that the first camera and second camera is same At least one image synthesis three-dimensional image comprising human body that moment shoots respectively, and shot based on first camera The corresponding three-dimensional image of two dimensional image on obtain human body contour outline in the corresponding range information of at least one pixel, later Whether compare the difference between the range information of the pixel determination of N number of three-dimensional image in preset threshold range, leads to Cross before the comparison result can determine whether user is in terminal, and if N number of range information difference in certain threshold value model In enclosing, then illustrates the position of user and do not have jump at a distance from terminal relatively, such as can determine whether out whether user is infusing It depending on TV and is kept for a period of time, the opposite accuracy for improving identification user location and generating power-on instruction, i.e., multiple When the difference of range information meets preset threshold range, it may be determined that user has the intention of viewing terminal such as TV, and further Power-on instruction is generated, controlling terminal is opened, and compared with prior art, eliminates whether infrared detection technology perception has users Mode be easy by surrounding environment influence, accuracy of identification and poor sensitivity the problems such as, this terminal booting control method and be System passes through the ranging of dual camera three-dimensional information and combines human bioequivalence algorithm, it may be determined that the booting of user is intended to, and automatically controls eventually End is opened, while ensuring high real-time, high-precision, increases substantially the manipulation experience of user.
Optionally, as shown in fig. 6, described image processing system 603 includes:
First acquisition unit 6031, for obtaining each pixel of second image;
Unit 6032 is established, for establishing preset window as center pixel using each pixel of second image; Wherein, the preset window includes the M pixel according to pre-determined distance, centered on the central pixel point;
Second acquisition unit 6033, for obtaining the pixel value of the preset window
Extraction unit 6034, for the pixel value according to the preset window, extracted from the third image with it is described It is target area that the value differences of preset window, which are worth the smallest region,;
Determination unit 6035, for determining the central pixel point of each target area;
Generation unit 6036, for by the middle imago of the central pixel point of each second image and the target area Vegetarian refreshments is matched, and three-dimensional image corresponding with second image is obtained.
Optionally, the extraction unit 6034 includes:
Determining module, for determining coordinate of first pixel in second image, and with first picture The first preset window is established centered on vegetarian refreshments;
Module is chosen, is used in the case where keeping the first pixel ordinate constant, from the third image All candidate regions identical as the first preset window size are selected, the candidate region is to appoint in the third image Pixel of anticipating is established for center pixel, and the ordinate of each pixel in the candidate region and described first The ordinate of pixel is identical;
Computing module, for calculating the pixel value of each candidate region, the pixel value refers to institute in candidate region There is the sum of the gray value of pixel;
Determination module, for by the margin of image element in the pixel value of all candidate regions with first preset window The different the smallest candidate region of value is determined as target area.
Optionally, described image identifying system 604 includes contours extract unit and pixel extraction unit, and the profile mentions Unit is taken to be specifically used for:
The horizontal histogram and longitudinal histogram of range information are established to three-dimensional image corresponding with the first image;
The lines detection processing of least square method algorithm is carried out based on the horizontal histogram and longitudinal histogram;
The lateral straight line with identical ordinate, Yi Ji are extracted in by lines detection treated horizontal histogram Longitudinal straight line with identical abscissa is extracted in longitudinal histogram;
The people of the corresponding three-dimensional image of the first image is obtained according to the lateral straight line and longitudinal straight line Body profile.
Optionally, described image identifying system 604 further includes recognition unit, and the recognition unit includes:
Human eye analysis module, for carrying out human eye to the image comprising human body that N number of the first camera of shooting time is shot Identification, obtains the eye profile of user;
Human eye matching module, for identifying the corresponding eye profile variations of adjacent moment in N number of shooting time frame by frame Information, and matched with human eye feature library, the human eye feature library prestores the human eye action of user;
Object selection module is chosen with the adjacent human eye profile variations information gap most from the human eye feature library Small human eye action is as target human eye action;
Instruction control module, for when the target human eye action meets preset power-on instruction and requires, described in control Execution system generates power-on instruction.
In several embodiments provided herein, it should be understood that disclosed system, device and method can be with It realizes by another way.For example, the apparatus embodiments described above are merely exemplary, for example, the unit It divides, only a kind of logical function partition, there may be another division manner in actual implementation, such as multiple units or components It can be combined or can be integrated into another system, or some features can be ignored or not executed.Another point, it is shown or The mutual coupling, direct-coupling or communication connection discussed can be through some interfaces, the indirect coupling of device or unit It closes or communicates to connect, can be electrical property, mechanical or other forms.
The unit as illustrated by the separation member may or may not be physically separated, aobvious as unit The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple In network unit.It can select some or all of unit therein according to the actual needs to realize the mesh of this embodiment scheme 's.
It, can also be in addition, the functional units in various embodiments of the present invention may be integrated into one processing unit It is that the independent physics of each unit includes, can also be integrated in one unit with two or more units.Above-mentioned integrated list Member both can take the form of hardware realization, can also realize in the form of hardware adds SFU software functional unit.
The above-mentioned integrated unit being realized in the form of SFU software functional unit can store and computer-readable deposit at one In storage media.Above-mentioned SFU software functional unit is stored in a storage medium, including some instructions are used so that a computer Equipment (can be personal computer, server or the network equipment etc.) executes the portion of each embodiment the method for the present invention Step by step.And storage medium above-mentioned includes: USB flash disk, mobile hard disk, read-only memory (Read-Only Memory, abbreviation ROM), random access memory (Random Access Memory, abbreviation RAM), magnetic or disk etc. are various can store The medium of program code.
Finally, it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations;Although Present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that: it still may be used To modify the technical solutions described in the foregoing embodiments or equivalent replacement of some of the technical features; And these are modified or replaceed, technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution spirit and Range.

Claims (10)

1. a kind of control method of terminal booting characterized by comprising
By each shooting time in N number of shooting time in preset time, the first camera and second camera are clapped simultaneously respectively The image comprising human body taken the photograph synthesizes N number of three-dimensional image;
Extract the human body contour outline in three-dimensional image corresponding with the first image, wherein when the first image is N number of shooting Carve any one image of the first camera shooting;
On three-dimensional image corresponding with the first image, obtain and at least one pixel pair in the human body contour outline The range information answered;
The corresponding range information of at least one pixel determined in other three-dimensional images is obtained respectively;
Whether compare the difference between the N number of range information got in preset threshold range;
If so, generating power-on instruction, and opened according to the power-on instruction controlling terminal.
2. the method according to claim 1, wherein for the second image and third image, by the first camera The second image comprising human body and third image synthesis three-dimensional image shot respectively with second camera in synchronization, Include:
Obtain each pixel of second image;
Preset window is established as center pixel using each pixel of second image;Wherein, the preset window includes The M pixel according to pre-determined distance, centered on the central pixel point;
Obtain the pixel value of the preset window;
According to the pixel value of the preset window, the value differences value with the preset window is extracted from the third image The smallest region is target area;
Determine the central pixel point of each target area;
The central pixel point of each second image is matched with the central pixel point of the target area, acquisition and institute State the corresponding three-dimensional image of the second image.
3. according to the method described in claim 2, it is characterized in that, first pixel is described for the first pixel Any one pixel in second image in all pixels point, the pixel value for obtaining the preset window, and according to institute The pixel value for stating preset window extracts from the third image and is worth the smallest region with the value differences of the preset window For target area, comprising:
It determines coordinate of first pixel in second image, and establishes first centered on first pixel Preset window;
In the case where keeping the first pixel ordinate constant, each candidate region is chosen from the third image, The window size of the candidate region is identical as the first preset window size, and the candidate region is with the third figure Any one pixel is that center pixel is established as in, the ordinate of each pixel in the candidate region with it is described The ordinate of first pixel is identical;
Calculate the pixel value of each candidate region, the pixel value refer to all pixels point in candidate region gray value it With;
The smallest candidate regions will be worth with the value differences of first preset window in the pixel value of all candidate regions Domain is determined as target area.
4. the method according to claim 1, wherein in the corresponding three-dimensional image of the first image of the extraction Human body contour outline, comprising:
The horizontal histogram and longitudinal histogram of range information are established to three-dimensional image corresponding with the first image;
The lines detection processing of least square method algorithm is carried out based on the horizontal histogram and longitudinal histogram;
The lateral straight line with identical ordinate is extracted in by lines detection treated horizontal histogram, and in longitudinal direction Longitudinal straight line with identical abscissa is extracted in histogram;
The human body wheel of the corresponding three-dimensional image of the first image is obtained according to the lateral straight line and longitudinal straight line It is wide.
5. any method according to claim 1 ~ 4, which is characterized in that before the generation power-on instruction further include:
Eye recognition is carried out to the image comprising human body of N number of the first camera of shooting time shooting, obtains the eye wheel of user It is wide;
Identify the corresponding eye profile variations information of adjacent moment in N number of shooting time frame by frame, and with human eye feature library into Row matching, the human eye feature library prestores the human eye action of user;
It is chosen and the adjacent the smallest human eye action conduct of human eye profile variations information gap from the human eye feature library Target human eye action;
If the target human eye action meets preset power-on instruction requirement, power-on instruction is generated.
6. a kind of control system of terminal booting characterized by comprising the first camera on the terminal is arranged in parallel And second camera, operate in image processing system, image identification system and the execution system on the terminal handler;
Wherein, first camera and second camera are in same horizontal line;
First camera and second camera, for shooting at least one image comprising human body in preset time;
Described image processing system, for by each shooting time in N number of shooting time in preset time, the first camera N number of three-dimensional image is synthesized with the image comprising human body that second camera is shot simultaneously respectively;
Described image identifying system, for extracting the human body contour outline in the corresponding three-dimensional image of the first image, wherein described First image is any one image of the shooting of the first camera described in N number of shooting time;
On three-dimensional image corresponding with the first image, obtain and at least one pixel pair in the human body contour outline The range information answered;
The corresponding range information of at least one pixel determined in other three-dimensional images is obtained respectively;
Whether compare the difference between the N number of range information got in preset threshold range;
The execution system, for when the judgment result is yes, generating power-on instruction, and according to the power-on instruction controlling terminal It opens.
7. system according to claim 6, which is characterized in that described image processing system is executed the first camera and second Camera is described in the second image comprising human body that synchronization is shot respectively and third image synthesis three-dimensional image Image processing system includes:
First acquisition unit, for obtaining each pixel of second image;
Unit is established, for establishing preset window as center pixel using each pixel of second image;Wherein, described Preset window includes the M pixel according to pre-determined distance, centered on the central pixel point;
Second acquisition unit, for obtaining the pixel value of the preset window
Extraction unit extracts and the preset window from the third image for the pixel value according to the preset window Value differences to be worth the smallest region be target area;
Determination unit, for determining the central pixel point of each target area;
Generation unit, for carrying out the central pixel point of the central pixel point of each second image and the target area Matching obtains three-dimensional image corresponding with second image.
8. system according to claim 7, which is characterized in that the extraction unit includes:
Determining module for determining coordinate of first pixel in second image, and with first pixel is The heart establishes the first preset window;First pixel is any one pixel in second image in all pixels point Point;
Module is chosen, for being chosen from the third image in the case where keeping the first pixel ordinate constant Each candidate region, the window size of the candidate region is identical as the first preset window size, and the candidate region Each pixel for what is established using any one pixel in the third image as center pixel, in the candidate region Ordinate it is identical as the ordinate of first pixel;
Computing module, for calculating the pixel value of each candidate region, the pixel value refers to all pictures in candidate region The sum of gray value of vegetarian refreshments;
Determination module, for by the value differences value in the pixel value of all candidate regions with first preset window The smallest candidate region is determined as target area.
9. system according to claim 6, which is characterized in that described image identifying system includes contours extract unit and pixel Point extraction unit, the contours extract unit are specifically used for:
The horizontal histogram and longitudinal histogram of range information are established to three-dimensional image corresponding with the first image;
The lines detection processing of least square method algorithm is carried out based on the horizontal histogram and longitudinal histogram;
The lateral straight line with identical ordinate is extracted in by lines detection treated horizontal histogram, and in longitudinal direction Longitudinal straight line with identical abscissa is extracted in histogram;
The human body wheel of the corresponding three-dimensional image of the first image is obtained according to the lateral straight line and longitudinal straight line It is wide.
10. according to any system of claim 6 ~ 9, which is characterized in that described image identifying system further includes recognition unit, The recognition unit includes:
Human eye analysis module, for carrying out eye recognition to the image comprising human body that N number of the first camera of shooting time is shot, Obtain the eye profile of user;
Human eye matching module, for identifying the corresponding eye profile variations information of adjacent moment in N number of shooting time frame by frame, And matched with human eye feature library, the human eye feature library prestores the human eye action of user;
Object selection module is chosen the smallest with the adjacent human eye profile variations information gap from the human eye feature library Human eye action is as target human eye action;
Instruction control module, for controlling the execution when the target human eye action meets the requirement of preset power-on instruction System generates power-on instruction.
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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20180033681A (en) * 2016-09-26 2018-04-04 삼성전자주식회사 Display device and power controlling method thereof
CN106814742A (en) * 2016-12-29 2017-06-09 湖南创动智能科技有限公司 A kind of control method of unmanned plane, control device and unmanned plane
CN106970709B (en) * 2017-03-30 2020-01-17 宁波万维显示科技有限公司 3D interaction method and device based on holographic imaging
CN109978987A (en) * 2017-12-28 2019-07-05 周秦娜 A kind of control method, apparatus and system constructing panorama based on multiple depth cameras
CN108419129A (en) * 2018-03-29 2018-08-17 深圳市赛亿科技开发有限公司 Television set and its start-up control method, computer readable storage medium
JP7221134B2 (en) * 2019-05-24 2023-02-13 東芝ライフスタイル株式会社 refrigerators and refrigerator systems
CN110971948A (en) * 2019-12-19 2020-04-07 深圳创维-Rgb电子有限公司 Control method and device of smart television, smart television and medium
CN112258477B (en) * 2020-10-22 2023-08-18 孝感华中精密仪器有限公司 High-precision thermal infrared imager start-up time testing system and method
CN113223280B (en) * 2021-04-01 2023-06-27 当趣网络科技(杭州)有限公司 Remote controller retrieving method of intelligent television
CN113676660B (en) * 2021-08-11 2023-04-07 维沃移动通信有限公司 Shooting method and device and electronic equipment
CN114374877A (en) * 2021-12-27 2022-04-19 深圳康佳电子科技有限公司 Smart television based on millimeter wave radar, and pre-starting method and device
CN115471919B (en) * 2022-09-19 2023-09-12 江苏至真健康科技有限公司 Filing method and system based on portable mydriasis-free fundus camera

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6526161B1 (en) * 1999-08-30 2003-02-25 Koninklijke Philips Electronics N.V. System and method for biometrics-based facial feature extraction
CN101287086A (en) * 2007-04-10 2008-10-15 深圳Tcl新技术有限公司 Method and system realizing automatic turn-on and turn-off of television
CN104244053A (en) * 2013-06-18 2014-12-24 联想(北京)有限公司 Output control method and electronic device
CN104363392A (en) * 2014-11-12 2015-02-18 无锡科思电子科技有限公司 Method for automatically starting and closing television

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP6561512B2 (en) * 2014-03-27 2019-08-21 株式会社リコー Parallax value deriving device, moving body, robot, parallax value deriving method, parallax value producing method, and program

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6526161B1 (en) * 1999-08-30 2003-02-25 Koninklijke Philips Electronics N.V. System and method for biometrics-based facial feature extraction
CN101287086A (en) * 2007-04-10 2008-10-15 深圳Tcl新技术有限公司 Method and system realizing automatic turn-on and turn-off of television
CN104244053A (en) * 2013-06-18 2014-12-24 联想(北京)有限公司 Output control method and electronic device
CN104363392A (en) * 2014-11-12 2015-02-18 无锡科思电子科技有限公司 Method for automatically starting and closing television

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