CN103099602A - Constitution detecting method and constitution detecting system based on optical identification - Google Patents
Constitution detecting method and constitution detecting system based on optical identification Download PDFInfo
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Abstract
The invention relates to a constitution detecting method and a constitution detecting system based on optical identification. The constitution detecting method based on the optical identification comprises the steps of obtaining depth images of sporters, obtaining sporter body data, obtaining feature point coordinates matched with sport events of the sporters within a start-stop period of sports, and calculating sport data. The constitution detecting system based on the optical identification comprises an optical identification system and a data processing system, wherein the optical identification system adopts a depth vidicon to identify the sports of the spotters and forms depth image data, and the data processing system is connected with the optical identification system, processes the depth image data according to received sports type data and forms sports data. The constitution detecting method and the constitution detecting system based on the optical identification are high in constitution detecting speed.
Description
Technical field
The present invention relates to a kind of physical examinations method, particularly adopt the detection method of optical identification.
The present invention relates to a kind of physical examinations system, particularly adopt the detection system of optical identification.
Background technology
Since 2000, the Chinese government carried out national physique and detects take every 5 years as the cycle.2010,10 departments such as General Administration of Sport, the Ministry of Education, the Department of Science and Technology started national physique detected activity for the third time in China.Detect index and comprise body shape, physical function and body constitution three aspects:, the object of detection is the child of 3 to 6 years old, the children and youth of 7 to 19 years old, the adult of 20 to 59 years old, the old people of 60 to 69 years old.
In existing physical examinations, also adopt traditional detection method.Such as the patent No. is 200520053518.8, patent name is the Chinese patent of " a kind of physical examinations or leg flexing structure of body builder ", it is mainly the mechanism of detecting leg power, effectively guarantee bent lower limb action criteria, make test or body-building move standard more, and can adapt to different human bodies, and do not allow the bent leg mechanism of user utilization borrow power, guaranteed the accuracy of test result and the effectiveness of body-building.Although test result accurately with effective, still adopts manual record to the sampling of data, certain personal error can occur equally.Such as one of the standing long jump in physical examinations, need to measure out the distance of ski-jump and pick-up point with a yardstick, and hand-kept; Take abdominal crunch as example, need interior sporter of artificial definite scheduled time to play the number of seat.Equally to the reading by human eye of data, record is also will be through unusually.That is to say, in existing physical examinations equipment, need artificial the participation to measure and record data, use inconvenient.In use simultaneously, some artificial errors will occur, can't reach that sampling is objective, working specification, result target accurately.
For the problems referred to above, although some patents have been arranged, these patents can not address the above problem fully.Local at other, might occur also that personnel to be measured act as fraudulent substitute for a person, the score personnel change the phenomenons such as total marks of the examination privately, adopts traditional technological means all to be difficult to solve, also make the physical examinations result not reliably, degree of belief is relatively low.So for the deficiencies in the prior art, urgent need will change.
Summary of the invention
The object of the present invention is to provide a kind of physical examinations method and system based on optical identification.The present invention solves the human body constitution datamation and measures, records problem, can process a plurality of projects that comprise long-jump, step test, abdominal crunch, sitting body anteflexion, high jump, rope skipping etc.
Technical scheme of the present invention is as follows:
A kind of physical examinations method based on optical identification comprises and obtains the depth image that includes the sporter; Obtain sporter's body data; Obtain the characteristic point coordinate that adapts with sports events during sporter's motion start-stop; Calculate and form exercise data.
In another preferred implementation of physical examinations method of the present invention, this sporter's body data comprises at least one in height, brachium and foot length.
In another preferred implementation of physical examinations method of the present invention, this physical examinations method also comprises the physiological data of processing the sporter and at least one in the appearance data.
In another preferred implementation of physical examinations method of the present invention, this physical examinations method also comprises encrypts body data, exercise data, physiological data and appearance data.
A kind of physical examinations system based on optical identification comprises optical recognition system, adopts depth camera identification sporter motion, and the depth image data that form; Data handling system is connected with optical recognition system, processes this depth image data, and according to the type of sports date processing depth image data formation exercise data that receives.
In another preferred implementation of physical examinations of the present invention system, these type of sports data are external setting-up.
In another preferred implementation of physical examinations of the present invention system, this physical examinations system also comprises the Motion Recognition system, be connected with data handling system with this optical recognition system, give data handling system for depth image data identification type of sports Data Concurrent.
In another preferred implementation of physical examinations of the present invention system, this optical recognition system obtains in very first time point the first view data that includes this sporter, obtain the second view data that includes this sporter in the second time point, and determine expression motion characteristics point coordinates according to image.
In another preferred implementation of physical examinations of the present invention system, this characteristic point coordinate comprises the characteristic point coordinate that obtains very first time point and the characteristic point coordinate that obtains the second time point.
In another preferred implementation of physical examinations of the present invention system, this characteristic point coordinate is space coordinates.
In another preferred implementation of physical examinations of the present invention system, this physical examinations system also comprises a receiving system, can receive the third party's data that transmit the outside.
In another preferred implementation of physical examinations of the present invention system, this physical examinations system also comprises a Camcording system, to all physical examinations processes video recordings.
In another preferred implementation of physical examinations of the present invention system, this physical examinations system also comprises an encryption system, is connected with this data handling system, and video recording, third party's data, depth image data and exercise data are encrypted.
In another preferred implementation of physical examinations of the present invention system, this type of sports is at least one among long-jump, step test, abdominal crunch, sitting body anteflexion, high jump, rope skipping, shuttlecock kicking.
In another preferred implementation of physical examinations of the present invention system, this physical examinations system also comprises user log-in block, one or more authentication of users login in build image, face-image, password, sound and the gait of this user log-in block User.
In another preferred implementation of physical examinations of the present invention system, this physical examinations system also comprises exercise data comparation and assessment module, these exercise data comparation and assessment module preset standard data, this exercise data comparation and assessment module is according to this normal data and the exercise data contrast that collects, output comparing result.
In another preferred implementation of physical examinations of the present invention system, this physical examinations system comprises that also exercise data transmits receiver module, this exercise data transmits receiver module and is used for exercise data is sent to server end, and from server end receive data result.
In another preferred implementation of physical examinations of the present invention system, this physical examinations system also comprises camera module, and this camera module records sporter's face-image.
In another preferred implementation of physical examinations of the present invention system, this physical examinations system also comprises a personal-machine interactive device, and this human-computer interaction interface comprises at least one in a display device, keyboard, mouse.
In another preferred implementation of physical examinations of the present invention system, this physical examinations system comprises a data output module, whether this data outputting module detects has external memory to be connected to this physical examinations system, when external memory is connected to this physical examinations system, data is transferred to this external memory according to default form having detected.
In another preferred implementation of physical examinations of the present invention system, this physical examinations system also comprises a loudspeaker module, and after this exercise data is disposed, this loudspeaker module is play this exercise data result.
In another preferred implementation of physical examinations of the present invention system, this optical recognition system is one or more in single camera visible images acquisition system, single camera infrared light image acquisition system and degree of depth camera head.
In another preferred implementation of physical examinations of the present invention system, this single camera visible images acquisition system is used for obtaining the visible images data; This single camera infrared light image acquisition system is used for obtaining the infrared light image data; This visible images forms the first depth image data through the data pretreatment, and this infrared light image forms the second depth image through the data pretreatment; This degree of depth camera head is used for obtaining the 3rd depth image data; At least one in these data handling system basis these the first depth image data of exercise data type of process, the second depth image data and the 3rd depth image data of receiving is to form exercise data or body data.
In another preferred implementation of physical examinations of the present invention system, this data handling system is also according at least one in these visible images data and these infrared light image data, carry out date processing in conjunction with at least one in these the first depth image data, the second depth image data and the 3rd depth image data, form exercise data or body data.
With respect to prior art, a kind of physical examinations method and system based on optical identification provided by the present invention, and have good real-time and extended capability.
With respect to prior art, because the physical examinations method and system based on optical identification of the present invention adopts optical instrument automatically to identify sporter's body data and exercise data, realize unmanned measurement and score.Thereby the speed that makes test job is able to lifting, time shorten, human cost minimizing.
Simultaneously, because data processing method used and standard are all predefined, can strictly unify, thus the various interference factors when having avoided manual measurement.Thereby the standard that guarantees sporter's physical examinations is comparatively unified, more has fairness.
Simultaneously, owing to substantially not needing people's participation, various potential do wrong to serve one's friends or relatives etc. have also been stopped.Make that the physical examinations result is relatively reliable, degree of belief is relatively high.
The specific embodiment
Below preferred embodiment of the present invention is described in detail.
Basic thought of the present invention is to adopt depth camera to gather scene image, the identification human body relevant to the project survey content in scene image, computational methods calculating human body constitution data and record that employing is associated with project.In order to prevent that the problems such as personal error from occurring, physical examinations process whole process using automatization's record data are also encrypted data, adopt simultaneously the shooting record, keep tester's appearance data, and to appearance data and physical examinations Data Matching and encryption.
A kind of preferred implementation that the present invention is based on the physical examinations method of optical identification comprises step:
S1 obtains the depth image that includes the sporter;
In the definition world coordinate system, represent the left and right with the x direction of principal axis, represent the up and down with the y direction of principal axis, the z direction of principal axis represents distance.A common width two dimensional image can only represent the position of pixel with x axle and the axial data of y, the value on image on the z direction of principal axis of all pixels is all identical.Depth image refers to that pixel has three-dimensional information, particularly includes the image of the data of z direction of principal axis distance.Namely in depth image, can the three-dimensional coordinate of clear and definite pixel in world coordinate system.For each pixel, except represent its position in three dimensions generally also have some other parameters with x, y, z, for example, comprise that also R, G, B value are used for color and the brightness of expression pixel, perhaps represent color and the brightness of pixel with C, M, Y, K.
Obtaining of depth image can adopt degree of depth camera head to gather.This degree of depth camera head can be 3 D visual image acquisition system, structure light image acquisition system or flight light image acquisition system.
The 3 D visual image acquisition system mainly is based on Binocular Vision Principle, usually adopts at least two video cameras to carry out image acquisition to target object or target scene, and calculates the formation depth map by data.Particularly, take 3 D visual image acquisition system with two video cameras as example, these two video cameras are commissarial two eyes usually, have overlapping image acquisition region, are called common scene.In a certain moment, two video cameras carry out image acquisition to this common scene, obtain the image that two width have 2-D data information.By the correlation formula of Binocular Vision Principle, and parameters such as the relative positions between these two video cameras, angle, thereby determine the three-dimensional coordinate of each pixel in this common scene, thereby form a width depth map.
Certainly, in concrete data handling procedure, also can only carry out data to the subregion in common scene and calculate, only obtain the three-dimensional coordinate of each pixel in this subregion.The demand that subsequent treatment of the present invention only need to be satisfied in this subregion gets final product.
The structure light image acquisition system mainly comprises a coherent source and a video camera.This coherent source is launched the pattern with feature speckle in the space.Video camera is taken the pattern that object under test reflects.The characteristic such as the shape of the pattern of this reflection, size and object under test have certain rule apart from the far and near of coherent source or with the distance of video camera distance.For example, the shape of the pattern of object under test A place reflection or size are directly proportional to the axial distance of the z of coherent source to this A place.Process shape or the size of the pattern that calculates the reflection of A place by follow-up data, just can instead release this A place apart from the axial distance of coherent source z.Thereby calculate the three-dimensional coordinate at this A place.
Flight light image acquisition system comprises impulse sender, detector and timer.Impulse sender is to the target object emission of light, and the light of detector detection of a target object reflection, timer are used for writing down this impulse sender and send pulse and rise to this detector and detect time difference between reflection ray.By certain data rectification etc., calculate the concrete flight time of light pulse.The axial distance of z that calculates target object according to flight time and the light velocity of light.
In the zone of an appointment, when perhaps moving in the scope of appointment, obtaining of depth image can also gather by the two dimensional image deriving means when sporter's motion.Particularly, (only need to obtain the data of sporter on a dimension) when the sporter carries out the long-jump campaign, sporter's moving region can be defined as a bar-shaped zone.For a video camera, the sporter is equivalent to move in a two dimensional surface.At this moment, can carry out image acquisition with the two dimensional image deriving means.(two dimensional image that the depth image of this moment can be understood as original acquisition carries out enlarged image according to a ratio with z direction of principal axis Range-based by predefined z direction of principal axis distance, two dimensional image to be converted into depth image afterwards, in this image, the axial size of each pixel z is all identical), thus calculating sporter's exercise data.
For example adopt single camera visible images collecting device, obtain the visible images of target scene.Perhaps use single camera infrared light image collecting device, obtain the image of the infrared band of target.The characteristics of visible images are abundant information, but disturb morely, and the date processing difficulty is large.To the image of infrared band, be characterized in disturbing less.When adopting the infrared light image collecting device, can add infrared fileter before photographic head.Can also set up an infrared light supply, the user is shone the target scene.The target scene refers to the scene at target object place.
Obtain during the depth image that includes the sporter refers to that the sporter is in the target scene at this step S1, can be caught by the depth image deriving means.Perhaps the sporter moves in a zone that limited boundary arranged, and the sporter is caught by the two dimensional image deriving means, and respective image is converted into depth image.
Step S2 obtains sporter's body data;
Sporter's body data comprises the data of the expression human body limb length such as sporter's height, sporter's brachium (length of both arms horizontal development), lower limb length, foot long (length of sole, the i.e. size of foot).In addition can also comprise that human body face view data etc. can verify the information of sporter's identity.
Particularly, in the present invention, obtaining sporter's body data is to adopt optical recognition system to obtain.Obtain the Human Height data instance with single camera visible images acquisition system:
When measuring height, needing the human body of identification is head and foot, then calculates the height of human body according to the difference of human body head and foot bottom.Calculating Human Height only needs a two field picture to get final product, and is optimization data, reduces error and also can calculate multiple image, averaged or the default numerical value of scheme selection of foundation.To calculate height as example from a two field picture, concrete identifying comprises:
The head grader identification head of A1, use training in advance;
Gradient orientation histogram (hereinafter to be referred as HOG, Histogram of Gradient) with head zone in the human body visible images is the features training grader, gathers abundant sample information training, and this is the training stage.Through the processing of step S1, human body visible images herein be depth image in the present embodiment, this human body visible images can not be also depth image.
After training the head grader, extract the HOG feature of head zone from the human body visible images, call the head grader that has trained, judge the head that whether has human body in image-region.When image-region comprises the head of human body, record the zone that this comprises head.
To each zone in image, the gradient direction angle of each pixel in Domain.The gradient direction angle of each pixel is combined to form the rectangular histogram of gradient direction angle, and this is the HOG feature in zone.
In the HOG feature, the process of asking for of gradient direction angle is: the image type that judgement gathers is coloured image or gray level image; As image being converted into gray level image for coloured image, as not processing for gray level image.
Afterwards, establishing gray level image is I (i, j), and in I (i, j) expression piece image, coordinate is the brightness of the pixel of (i, j).Gradient direction angle is:
In follow-up visible images, it is basically identical that method is stated in the acquiring method of HOG feature and this place.
The grader identification foot of foot of B1, use training in advance
HOG features training foot grader with foot areas in the human body visible images.During identification, first extract the HOG feature from the human body visible images, then call the foot's grader that trains, judge whether there is the human foot in image-region.When having the human foot, record the coordinate information in the zone that comprises foot etc.
After identification head and foot, just can calculate the height data of human body.
Long to human body brachium, face-image, lower limb, foot is long obtain with the above-mentioned info class that obtains head, foot seemingly.Particularly, train exactly corresponding grader, during use, the calling classification device is identified.
Take single camera infrared light image acquisition system as example, introduce the present invention and how to identify calculating sporter body data.Infrared light is that image information is few with respect to the characteristics of visible light, but extracts simple and stable.The basic thought of infrared light image identification sporter body data is: paste or wear the infrared light labelling on the position of the human body relevant with measure the item, described infrared light labelling is the reflective object stronger to the Infrared reflectance; With infrared light supply emission Infrared irradiation infrared light labelling; Use the video camera photographic subjects scene with infrared fileter, and obtain depth image.
In the depth map that obtains, except the infrared light gauge point is brighter, other regional luminance less.Infrared light gauge point and other regional difference in brightness are larger.Can extract the position of infrared light gauge point in image by binary conversion treatment.Described binary conversion treatment refers to preset a luminance threshold, judges that whether the brightness value of a certain pixel is greater than this luminance threshold.If the brightness value of this pixel greater than this luminance threshold, thinks that this pixel is infrared light gauge point imaging.If the brightness value of this pixel less than this luminance threshold, thinks that this pixel is background pixel.
When adopting single camera infrared light image acquisition system to carry out the height measurement, measuring process comprises: paste or wear first an infrared light labelling the human foot, paste or wear second an infrared light labelling at head; Extract this first infrared light labelling and this second infrared light and be marked at position on image, even if Human Height.
Identification and calculating sporter body data take degree of depth camera head as the example introduction, relative theory is: in depth image, each pixel is the three-dimensional coordinate of target scene mid point, identifies corresponding site and just can obtain the coordinate of corresponding site.
Be measured as example with height equally, the process of identifying with degree of depth camera head comprises:
A2, the predefined degree of depth head grader identification of use head
Dimension coordinate.
After training degree of depth head grader, extract the HOG feature of head zone from depth image, call the head grader that has trained, judge the head that whether has human body in image-region.When image-region comprises the head of human body, record the zone that this comprises head, obtain the three-dimensional coordinate of head.
The HOG feature also refers to the rectangular histogram that in image, the gradient direction angle of each pixel forms herein.When degree of depth shooting imaging, because the information of each pixel is the three-dimensional coordinate of scene point, only need to use z axial coordinate information to get final product when therefore asking the HOG feature.
Particularly, establishing that the z coordinate diagram looks like is Z (i, j), and Z (i, j) expression xy direction coordinate be the z axial coordinate value of the pixel of (i, j), and the gradient direction angle of correspondence is:
In the subsequent calculations depth image, the method for HOG feature is basic consistent with preceding method.
B2, use grader identification foot section of predefined degree of depth foot;
HOG features training degree of depth foot grader with foot areas in depth image.During identification, first extract the HOG feature from depth image, then call the foot's grader that trains, judge whether there is the human foot in image-region.When having the human foot, record the coordinate information in the zone that comprises foot etc.
After identification head and foot, just can calculate the height data of human body.
Step S3 obtains the characteristic point coordinate that adapts with sports events during sporter's motion start-stop;
Step S4 calculates and forms exercise data.
The motion that the sports events that general physical examinations is used has long-jump, high jump, abdominal crunch, step test, sitting body anteflexion, rope skipping and shuttlecock kicking etc. to carry out in a relatively limited space.For example, can be in the high motion of carrying out in interior space at 5m*5m*3.5m of length and width.
To each sports events, the characteristic point that relates to all has their own characteristics each.Take long-jump as example, long-jump need to be measured take-off coordinate and the coordinate of heel when landing of tiptoe constantly, the tiptoe when corresponding characteristic point is respectively take-off and the heel when landing.Take high jump as example, need to obtain the maximum of assigned address and ground distance during the motion start-stop, for example the waist assigned address is apart from the maximum on ground.Take abdominal crunch as example, can be set to characteristic point by human body head, when section is positioned at predefined primary importance, think that the people lies flat right overhead; When head is positioned at the predefined second position within first fixed time, think that the people reaches rapidly the sitting posture head near foot section; When head returns to again this primary importance within second fixed time, think that the people completes an abdominal crunch action.Take rope skipping as example, in rope skipping and respectively settle an index point on human body, when the index point in rope skipping in the given time continuous motion during one week and the index point on human body beat once within the identical time, can think that rope skipping rotates once.Take shuttlecock kicking as example, can think that foot is a characteristic point, shuttlecock is another characteristic point; During less than a preset value, think that shuttlecock contacts with foot when the coordinate of shuttlecock and foot; When shuttlecock speeds away foot in a Preset Time, think that shuttlecock is kicked up; Take kick up add the contact as one-period, each computation of Period be shuttlecock kicking once.To sitting body anteflexion and step test, also can carry out the characteristic point setting according to the principle described in previous example.
Take the long-jump project as example, describe and adopt aforementioned a few class camera heads to carry out the long-jump method for measuring, particularly:
1, to single camera visible images acquisition system
In A3, the image when take-off, identification tiptoe position;
HOG features training foot grader with foot areas in the human body visible images.During identification, the image when analyzing take-off extracts the HOG feature the image during from take-off, call the foot's grader that trains, and judges the foot that whether has human body in image-region.As existing, record the positional information of foot areas.
Suppose single camera visible images acquisition system with the horizontal direction setting, and suppose that the transfer direction is that the x axle becomes large direction, assert tiptoe position in image when take-off, some position of x coordinate maximum in foot areas.
In B3, the image when landing, identification heel position.
Analyze the image when landing, extract the HOG feature the image when landing, call the foot's grader that trains, judge the foot that whether has human body in image-region.As existing, record the positional information of foot areas.
Suppose single camera visible images acquisition system with the horizontal direction setting, and suppose that the transfer direction is that the x axle becomes large direction, assert heel position in image when take-off, some position of x coordinate minimum in foot areas.
Tiptoe position and when landing after the heel position when obtaining take-off just can calculate sporter's long-jump distance.
Certainly, such scheme is that remote scheme is jumped in a simple identification, also can have some change.In B3, identification be also the position of tiptoe, the size that only need to deduct the data result that calculates again sporter's foot this moment gets final product.The size of sporter's foot can preset before motion.
2, to single camera infrared light image acquisition system
For long-jump, owing to will measuring heel and tiptoe, paste respectively on heel and tiptoe or wear an infrared light labelling.
The tiptoe image coordinate is extracted in photographed scene imaging when take-off; Land the imaging of thing photographed scene, extracting the heel image coordinate; Suppose the video camera horizontal positioned, the people jumps from left to right, starting point or pick-up point imaging, in two labellings, the left side be heel, the right side be tiptoe.Record the picture position of ski-jump tiptoe and the picture position of pick-up point heel.Thereby obtain the long-jump data.
3, to degree of depth camera head
In A4, the image when take-off, identification tiptoe position;
HOG features training degree of depth foot grader with foot areas in depth image.During identification, the image when analyzing take-off extracts the HOG feature the image during from take-off, calls the degree of depth foot grader that trains, and judges the foot that whether has human body in image-region.As existing, record the positional information of foot areas.
Suppose degree of depth camera head with the horizontal direction setting, and suppose that the transfer direction is that the x axle becomes large direction, assert tiptoe position in image when take-off, some position of x coordinate maximum in foot areas.
In B3, the image when landing, identification heel position.
Analyze the depth image when landing, extract the HOG feature the image when landing, call the degree of depth foot grader that trains, judge the foot that whether has human body in image-region.As existing, record the positional information of foot areas.
Suppose degree of depth camera head with the horizontal direction setting, and suppose that the transfer direction is that the x axle becomes large direction, assert heel position in image when take-off, some position of x coordinate minimum in foot areas.
Tiptoe position and when landing after the heel position when obtaining take-off just can calculate sporter's long-jump distance.
With respect to prior art, because the physical examinations method and system based on optical identification of the present invention adopts optical instrument automatically to identify sporter's body data and exercise data, realize unmanned measurement and score.Thereby the speed that makes test job is able to lifting, time shorten, human cost minimizing.
Simultaneously, because data processing method used and standard are all predefined, can strictly unify, thus the various interference factors when having avoided manual measurement.Thereby the standard that guarantees sporter's physical examinations is comparatively unified, more has fairness.
Simultaneously, due to the participation that does not need the people, various potential do wrong to serve one's friends or relatives etc. have also been stopped.Make that the physical examinations result is relatively reliable, degree of belief is relatively high.
Some preferred embodiments of physical examinations method and system based on optical identification of the present invention in other embodiment, when adopting degree of depth camera head, calculate the characteristic point position of sports events and also index point can be set, to facilitate date processing; As when adopting single camera visible images acquisition system, the characteristic point position of sports events is calculated also index point can be set.
It is pointed out that and need to limit the range of activity of human body when adopting single camera visible images acquisition system and single camera infrared light image acquisition system.
When calculating the data of body data or sporter's all the sports, also can or all carry out combination with two in single camera visible images acquisition system, single camera infrared light image acquisition system and degree of depth camera head three, thereby improve the precision of the data result of calculation of body data, sports events.For example, the depth image that degree of depth camera head obtains can be done combination with the visible images of single camera visible images acquisition system collection, be used for to calculate in the lump the result of the data of sporter's body data result or sports events; Also can adopt depth image as a result of to calculate use, adopt visible images as a result of to verify use, perhaps good conversely.
Use the advantage of the two dissimilar imaging systems of class as the example description taken in conjunction take degree of depth camera head and single camera visible images acquisition system based on structured light:
What obtain based on the degree of depth camera head of structured light is the three-dimensional information of scene, and what single camera visible images acquisition system was obtained is the color information of scene, and the information attribute that two kinds of imaging systems collect is different, message complementary sense.
In structured-light system, when in scene, an object A blocks another object B, can not obtain three-dimensional coordinate near the intersection of object A and object B.
In single camera visible images acquisition system, the visible images of camera acquisition scene is if brightness or the color information of object A and object B can be obtained border both in visible images.
Demarcate in advance the coordinate corresponding relation of structured-light system and visible light system, can obtain object A and the real three-dimensional boundaries of object B according to the two-dimentional border that obtains in visible images.
Above theory be that the precision that can improve operation result is calculated in the combination of two types of images.
In sports events, user's visual light imaging need to be fused in the fantasy sport scene, give the people impression of moving more really, therefore, can identify the people in depth image, then extract human body pixel from visible images.
Physical examinations system based on optical identification of the present invention also comprises some other modules, so that the present invention is rich in greater functionality.
Particularly, the physical examinations system based on optical identification of the present invention also comprises a physiological data acquisition module, and this physiological data acquisition module can be used for gathering one or more of people's heart rate, blood pressure, vital capacity etc.This physiological data acquisition module can use with some sports events coupling, for example is used in conjunction with the step test.This physiological data acquisition module and physical examinations system can adopt wired or wireless mode to transmit data.
Physical examinations system based on optical identification of the present invention also comprises a data processing module.Apparently, this data processing module is converted into depth image for the treatment of image with two dimensional image, calculates the characteristic point information that relates in sports events, forms exercise data, and controls whole system work etc.
Physical examinations system based on optical identification of the present invention also comprises a sports events identification or setting module.This sports events identification or setting module can preset the type of sports events, perhaps can automatically identify according to sporter's motor process the sports events that the sporter carries out.
Physical examinations system based on optical identification of the present invention also comprises a receiver module and a data memory module.This receiver module receives data flow, control instruction stream of external transmission etc. by wired or wireless mode.The data flow that the outside is transmitted stores memory module into.Memory module also is used for all view data and the data processed result that storing moving person physical examinations device produces.
System also comprises picture recording module in physical examinations of the present invention, and this picture recording module records sporter's motor process image.
Physical examinations system based on optical identification of the present invention also comprises a camera module, and this camera module is recorded sporter's face-image.This face-image is corresponding one by one with these sporter's data, finally can utilize outside print data, and sporter's face-image and physical examinations data are all printed together.
Physical examinations system based on optical identification of the present invention also comprises an encrypting module, can be encrypted processing to all data in native system.
Camera module, picture recording module and the enciphered data of the present embodiment the best above can be comprehensively.Utilize face-image, motion video recording to monitor, prevent that someone from assuming another's name to push up subsides.To all data encryptions, prevented people's altered data simultaneously.
Physical examinations system based on optical identification of the present invention also comprises an accessory module.This accessory module is the needed stage properties of all kinds of special sports events, such as being the markd shuttlecock of tool, rope skipping, step etc.
Physical examinations system based on optical identification of the present invention also comprises an appearance collection and contrast module, can be used for gathering sporter's appearance information, and with this appearance information gathering storage, compare gathering gained appearance data and pre-stored good initial data, to be used for sporter's authentication.
Physical examinations system based on optical identification of the present invention also comprises a user log-in block.One or more authentication of users login in build image, face-image, password, sound and the gait of this user log-in block User.Can store user's the information such as build image, face-image, password, sound and gait in this memory module.At this moment, because sporter's identity does not adopt artificial checking, therefore can reduce physical examinations replacer's appearance, that invigorates health effectively and detect is fair and reasonable.
Physical examinations system based on optical identification of the present invention also comprises an exercise data comparation and assessment module, these exercise data comparation and assessment module preset standard data, this exercise data comparation and assessment module is according to this normal data and the exercise data contrast that collects, output comparing result.Certainly, this exercise data comparation and assessment module is preset standard data not also, this exercise data comparation and assessment module comprises data sending terminal, exercise data is sent in cloud server, the preset standard data are set in cloud server, and after exercise data and preset standard data are compared, comparison result is issued this transport data comparation and assessment module.
Certainly, the physical examinations system based on optical identification of the present invention can also comprise a personal-machine interactive device and a data output module.This human-computer interaction device comprises at least one in display device, keyboard, mouse and a speaker.Whether this data outputting module detects has external memory to be connected to this physical examinations system, when external memory is connected to this physical examinations system, data is transferred to this external memory according to default form having detected.
Abovely be described in detail to the physical examinations method based on optical identification provided by the present invention with based on the physical examinations system of optical identification, used specific case herein principle of the present invention and embodiment are set forth, the explanation of above embodiment just is used for helping to understand core concept of the present invention; Simultaneously, for one of ordinary skill in the art, according to thought of the present invention, all will change in specific embodiments and applications, and all these improve and conversion all should belong to the protection domain of claims of the present invention.In sum, this description should not be construed as limitation of the present invention.
Claims (24)
1. the physical examinations method based on optical identification, is characterized in that, it comprises:
Obtain the depth image that includes the sporter;
Obtain sporter's body data;
Obtain the characteristic point coordinate that adapts with sports events during sporter's motion start-stop;
Calculate and form exercise data.
2. physical examinations method according to claim 1, is characterized in that, this sporter's body data comprises at least one in height, brachium and foot length.
3. physical examinations method according to claim 1, is characterized in that, this physical examinations method also comprises the physiological data of processing the sporter and at least one in the appearance data.
According to claim 1 to 3 arbitrary described physical examinations method, it is characterized in that, this physical examinations method also comprises encrypts body data, exercise data, physiological data and appearance data.
5. the physical examinations system based on optical identification, is characterized in that, this detection system comprises
Optical recognition system adopts depth camera identification sporter motion, and the depth image data that form;
Data handling system is connected with optical recognition system, processes this depth image data, and according to the type of sports date processing depth image data formation exercise data that receives.
6. physical examinations system according to claim 5, is characterized in that, these type of sports data are external setting-up.
7. physical examinations system according to claim 5, it is characterized in that, this physical examinations system also comprises and the Motion Recognition system is connected with this optical recognition system with data handling system, gives data handling system for depth image data identification type of sports Data Concurrent.
8. physical examinations system according to claim 5, it is characterized in that, this optical recognition system obtains in very first time point the first view data that includes this sporter, obtain the second view data that includes this sporter in the second time point, and determine expression motion characteristics point coordinates according to image.
9. physical examinations system according to claim 8, is characterized in that, this characteristic point coordinate comprises the characteristic point coordinate that obtains very first time point and the characteristic point coordinate that obtains the second time point.
10. according to claim 8 or 9 or described physical examinations system, it is characterized in that, this characteristic point coordinate is space coordinates.
11. the physical examinations system, is characterized in that according to claim 5, also comprises a receiving system, can receive the third party's data that transmit the outside.
12. the physical examinations system, is characterized in that according to claim 5, also comprises a Camcording system, to all physical examinations processes video recordings.
13. according to claim 11 or 12 described physical examinations systems is characterized in that, also comprise an encryption system, are connected with this data handling system, and video recording, third party's data, depth image data and exercise data are encrypted.
14. physical examinations according to claim 5 system is characterized in that this type of sports is at least one among long-jump, step test, abdominal crunch, sitting body anteflexion, high jump, rope skipping, shuttlecock kicking.
15. physical examinations according to claim 5 system, it is characterized in that, this physical examinations system also comprises user log-in block, one or more authentication of users login in build image, face-image, password, sound and the gait of this user log-in block User.
16. physical examinations according to claim 5 system, it is characterized in that, this physical examinations system also comprises exercise data comparation and assessment module, these exercise data comparation and assessment module preset standard data, this exercise data comparation and assessment module is according to this normal data and the exercise data contrast that collects, output comparing result.
17. physical examinations according to claim 5 system, it is characterized in that, this physical examinations system comprises that also exercise data transmits receiver module, and this exercise data transmits receiver module and is used for exercise data is sent to server end, and from server end receive data result.
18. physical examinations according to claim 5 system is characterized in that, this physical examinations system also comprises camera module, and this camera module records sporter's face-image.
19. physical examinations according to claim 5 system is characterized in that, this physical examinations system also comprises a personal-machine interactive device, and this human-computer interaction interface comprises at least one in a display device, keyboard, mouse.
20. physical examinations according to claim 5 system, it is characterized in that, this physical examinations system comprises a data output module, whether this data outputting module detects has external memory to be connected to this physical examinations system, when external memory is connected to this physical examinations system, data is transferred to this external memory according to default form having detected.
21. physical examinations according to claim 5 system is characterized in that, this physical examinations system also comprises a loudspeaker module, and after this exercise data is disposed, this loudspeaker module is play this exercise data result.
22. physical examinations according to claim 5 system is characterized in that this optical recognition system is one or more in single camera visible images acquisition system, single camera infrared light image acquisition system and degree of depth camera head.
23. physical examinations according to claim 22 system is characterized in that, this single camera visible images acquisition system is used for obtaining the visible images data; This single camera infrared light image acquisition system is used for obtaining the infrared light image data; This visible images forms the first depth image data through the data pretreatment, and this infrared light image forms the second depth image through the data pretreatment; This degree of depth camera head is used for obtaining the 3rd depth image data; At least one in these data handling system basis these the first depth image data of exercise data type of process, the second depth image data and the 3rd depth image data of receiving is to form exercise data or body data.
24. physical examinations according to claim 23 system, it is characterized in that, this data handling system is also according at least one in these visible images data and these infrared light image data, carry out date processing in conjunction with at least one in these the first depth image data, the second depth image data and the 3rd depth image data, form exercise data or body data.
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