KR101732402B1 - Gait monitoring apparatus by video observation and method of thereof - Google Patents
Gait monitoring apparatus by video observation and method of thereof Download PDFInfo
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- KR101732402B1 KR101732402B1 KR1020150189010A KR20150189010A KR101732402B1 KR 101732402 B1 KR101732402 B1 KR 101732402B1 KR 1020150189010 A KR1020150189010 A KR 1020150189010A KR 20150189010 A KR20150189010 A KR 20150189010A KR 101732402 B1 KR101732402 B1 KR 101732402B1
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
- H04N7/188—Capturing isolated or intermittent images triggered by the occurrence of a predetermined event, e.g. an object reaching a predetermined position
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
- A61B5/112—Gait analysis
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- G06K9/00624—
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B13/00—Burglar, theft or intruder alarms
- G08B13/18—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
- G08B13/189—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems
- G08B13/194—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems
- G08B13/196—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
- G08B13/19602—Image analysis to detect motion of the intruder, e.g. by frame subtraction
- G08B13/19608—Tracking movement of a target, e.g. by detecting an object predefined as a target, using target direction and or velocity to predict its new position
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- H04N5/23219—
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Abstract
The present invention relates to a gait monitoring apparatus through video surveillance. The gait monitoring apparatus includes a video preprocessing unit for performing a preprocessing process for removing a background from an image captured in real time in an image acquiring unit, a moving object extracting unit for extracting moving objects from the preprocessed video frame in the image preprocessing unit, A first judging unit for judging a moving object to be in a tingling state when it is included in consecutive image frames exceeding the time, a moving unit for moving a moving object And a second determination unit for extracting and tracking a silhouette of the moving object to generate a walking image of the moving object; And a database unit for storing a gait pattern corresponding to the moving object in correspondence with the gait pattern of the moving object, the processing unit searches the gait pattern generated in the second determination unit in the gait pattern stored in the database unit and outputs a similar gait pattern . Therefore, crime can be prevented in advance through real-time image monitoring.
Description
BACKGROUND OF THE
It is necessary to monitor the image after the occurrence of the crime and judge the intruder by using only the face, the body shape, or the attire in the investigation of the crime that occurs by invading the residence or the shop.
On the other hand, in an example of using a video image for a crime investigation, it is judged that the person is walking and compared with the suspect who is on the investigation line. Since this is subjective and is performed after the occurrence of the crime, .
In addition, there is a need for a method to detect a person who is classified as a dangerous person in advance in the image before the event, and prevent the occurrence of the event in advance.
According to an aspect of the present invention, there is provided a method of detecting a person object, comprising: detecting a human object included in the image to determine a tingling of a human object; analyzing a gait of the person object determined to be tingling; To prevent crime in advance.
The gait monitoring apparatus according to an embodiment of the present invention includes an image preprocessing
The image preprocessing
The
The
The
The
The
If the gait generation image generated by the
The
According to an embodiment of the present invention, a method for monitoring a gait through video surveillance includes: (a) acquiring an image; (b) performing a preprocessing operation to delete the background image of the acquired image; (c) determining a state of an object by distinguishing a human object from an image and determining whether or not a time is exceeded; (d) distinguishing a human object from a video, detecting and tracking a silhouette to determine a gait by generating a gait image; And (e) generating a warning according to the determined object state and gait.
In the step (c), if the object state is a human object, the step (d) is performed. Otherwise, the step is terminated.
According to this aspect, an apparatus and method for monitoring a gait through video surveillance according to an embodiment of the present invention detects a human object in an image and regards the human object as a surge when it is included in an image for a predetermined time or more, A person who is regarded as a distance is traced and a person corresponding to the stepped gauges is formed into a database through the generation and discrimination of a gait image, thereby preventing the crime through monitoring the image captured in real time.
1 is a block diagram showing a schematic configuration of a gait monitoring apparatus according to an embodiment of the present invention.
2 is a block diagram showing a schematic configuration of a first determination unit of a gait monitoring apparatus according to an embodiment of the present invention.
3 is a block diagram illustrating a schematic configuration of a second determination unit of a gait monitoring apparatus according to an embodiment of the present invention.
4 is a flowchart illustrating a gait monitoring method using video surveillance according to an embodiment of the present invention.
FIG. 5 is a diagram illustrating object tracking in a second determination unit of the gait monitoring apparatus according to an embodiment of the present invention.
FIG. 6 is a diagram illustrating object tracking in the second determination unit of the gait monitoring apparatus according to the embodiment of the present invention.
FIG. 7 is a view illustrating an output result of a gait monitoring apparatus according to an embodiment of the present invention.
8 is a view showing an output result of a gait monitoring apparatus according to an embodiment of the present invention.
Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those skilled in the art can easily carry out the present invention. The present invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. In order to clearly illustrate the present invention, parts not related to the description are omitted, and similar parts are denoted by like reference characters throughout the specification.
Hereinafter, an apparatus and method for monitoring a gait by video surveillance according to an embodiment of the present invention will be described with reference to the accompanying drawings.
1, a gait monitoring apparatus according to an embodiment of the present invention will be described with reference to FIGS. 1 to 3. FIG. 1 is a block diagram illustrating a gait monitoring apparatus according to an embodiment of the present invention. A
The
The
In one example, the image preprocessing
At this time, the image preprocessing
The
2, the
At this time, the
For example, when the human object is identified in the
The
The time-out determining
More specifically, the
At this time, the time-out determining
At this time, the object
3, the
More specifically, the
At this time, the
At this time, the
In one example, the
Accordingly, the gait
For example, the gait
At this time, the gait image generated by the gait
At this time, the
In one example, when the
In another example, when the
3, the
In this case, the
Referring to FIG. 1 again, the
For example, the
At this time, the
The
At this time, the object information corresponding to the gait pattern may be a person object designated as a dangerous person, for example, a criminal or a suspect, or a person object designated as a safe person. In the case of a person object designated as a safe person, it may be a resident of a space that is the object of video surveillance.
In one example, if the video surveillance target is a residential space, the resident of the space to be surveilled is designated as a safe person. The
In the case where the video surveillance target is a business site such as a shop, the related persons such as a president of a business site or a part-time student are designated as a safe person, and the
The gait monitoring apparatus according to an embodiment of the present invention is configured to have a structure as described with reference to Figs. 1 to 3, so that a moving person object is extracted from a captured image in real time, If the image is included in the image longer than the set time, the gait pattern is generated through the extraction of the silhouette of the human object and the gait pattern is searched in the
Next, a gait monitoring method using video surveillance through a gait monitoring apparatus using video surveillance according to an embodiment of the present invention will be described in detail with reference to the flow chart of FIG. 4 and the output screen of FIG. 7 and FIG.
As shown in FIG. 4, the gait monitoring method using video surveillance according to an embodiment of the present invention includes steps of acquiring an image (S100), performing a preprocessing operation to delete a background image of an acquired image (S210) (S220) of determining a state of an object by distinguishing a human object from the image and determining whether the time is over (S220), determining a gait by dividing a human object in the image and detecting and tracking a silhouette to generate a gait image S230) and generating a warning according to the determined object state and gait (S240).
First, in step S100, an image is acquired by the
Next, the preprocessing operation (S210) for deleting the background image of the acquired image is performed by the
In operation S220, the
In one example, if the human object is included in the image in a range not exceeding the set time in step S220, the process ends without executing the following steps.
However, if the human object is detected in the image in a time longer than the set time in step S220, the step of discriminating the human object from the image to be executed and detecting and tracking the silhouette to determine the stepping through the generation of the stepping image S230) is performed in the
In step S230, the gait image is formed by tracking the silhouette of the human object included in the image as shown in the third output screen of Fig. 7, and the gait generation image is searched in the
As such, it is possible to confirm the result of searching the
At this time, as shown in the first output screen of FIG. 8, a person object having a gait pattern similar to a gait pattern of a detected person object in a form of outputting search results of the
However, in another example, when a gait pattern having a degree of similarity to a gait pattern of a detected human object is very high, for example, 90% or more of similarity exists in the
For example, the degree of similarity for extracting the object information may be changed to a set value other than 90% in the step of generating the warning (S240).
As described above, the gait monitoring method using the video surveillance according to the embodiment of the present invention described with reference to the flowchart of FIG. 4 and FIGS. 7 and 8, Even when the object is wearing other clothes, it is possible to extract the silhouette of the person object, generate a gait image, and compare the gait pattern with the gait pattern stored in the
While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments, It belongs to the scope of right.
100: image acquisition unit 200:
210: image preprocessing unit 220: first determination unit
230: second determination unit 240:
300:
Claims (11)
A database unit 300 for storing a gait pattern corresponding to the moving object;
The processing unit 200 searches for the gait image generated by the second determination unit 230 in the gait pattern stored in the database unit 300 and outputs a similar gait pattern, 2, if the gait image generated by the gauging unit 230 is not stored in the database unit 300, the generated gait image is stored in the database unit 300. [ Monitoring device.
Wherein the image preprocessing unit 210 performs noise removal, morphology calculation, Gaussian or intermediate value filtering of the image received from the image obtaining unit 100. [
The first determination unit 220 determines,
An object discrimination unit 221 for discriminating a moving object from an image frame that has been preprocessed by the image preprocessing unit 210 and discriminating whether the moving object discriminated as a human object is a recognition object;
A timeout determination unit 222 for determining whether the moving object determined as a human object by the object determination unit 221 is included in a plurality of image frames exceeding a predetermined time; And
An object state determination unit (223) for determining, in the timeout determination unit (222), the moving object determined to be included in a plurality of image frames exceeding the set time as a tingling state;
And monitoring the gait by the video surveillance.
The second determination unit (230)
A silhouette processing unit (231) for extracting a silhouette from consecutive image frames of the moving object determined as a state of being tumbled in the first determination unit (220);
An object tracking unit (232) for tracking the silhouette of the moving object determined to be in a tingling state in successive image frames;
A gait image generating unit (233) for generating a gait image including the average information of the silhouettes by collecting the silhouettes tracked in successive image frames; And
A gait determining unit 234 for determining whether the gait image generated by the gait image generating unit 233 exists in the database unit 300;
And monitoring the gait by the video surveillance.
The object tracking unit 232 sets the search radius based on the silhouette extracted from the previous image frame, sets the center direction in which the object is distributed in the current image frame, And tracking the object similar to the silhouette to monitor the walking gait through the video surveillance.
Wherein the object tracking unit (232) tracks the silhouette using a histogram similarity measurement algorithm.
The database unit 300 stores a gait pattern corresponding to the object information designated as the dangerous phase or the safety phase and stores the gait pattern corresponding to the new object information and the gait pattern for the new object information from the second determination unit 230. [ And a step of monitoring the gait by means of video surveillance.
If the gait generation image generated by the second determination unit 230 is searched in the database unit 300 and the gait pattern corresponding to the detected object information corresponds to the object information designated as a dangerous level, And the notification unit 240 further comprises a notification unit 240 for informing the user of the gait.
The second determination unit 230 searches the generated gait image in the database unit 300 and outputs the gait patterns stored in the database unit 300 similar to the gait images in order of high similarity Wherein the gait monitoring apparatus comprises:
(b) performing a preprocessing operation to delete the background image of the acquired image;
(c) determining a state of an object by distinguishing a human object from an image and determining whether or not a time is exceeded;
(d) generating a gait image by classifying the human object in the image, detecting and tracking the silhouette, searching the generated gait image in the gait pattern stored in the database, and outputting a similar gait pattern, Storing the generated gait image in the database unit when the gait image is not stored in the database unit, and determining the generated gait image; And
(e) generating an alert based on the determined object state and gait;
And monitoring the gait through the video surveillance.
Wherein the step (d) is performed when the object state is determined to be a human object, and if not, the step is terminated.
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR20190081350A (en) | 2017-12-29 | 2019-07-09 | (주)동아금속 | Monitoring system of walking balance for lower limb rehabilitation |
CN111476198A (en) * | 2020-04-24 | 2020-07-31 | 广西安良科技有限公司 | Gait recognition method, device and system based on artificial intelligence, storage medium and server |
Citations (1)
Publication number | Priority date | Publication date | Assignee | Title |
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KR101470315B1 (en) * | 2014-08-11 | 2014-12-09 | (주)엔토스정보통신 | Closed-circuit television system of sensing risk by moving of object and method thereof |
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Publication number | Priority date | Publication date | Assignee | Title |
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KR101470315B1 (en) * | 2014-08-11 | 2014-12-09 | (주)엔토스정보통신 | Closed-circuit television system of sensing risk by moving of object and method thereof |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR20190081350A (en) | 2017-12-29 | 2019-07-09 | (주)동아금속 | Monitoring system of walking balance for lower limb rehabilitation |
CN111476198A (en) * | 2020-04-24 | 2020-07-31 | 广西安良科技有限公司 | Gait recognition method, device and system based on artificial intelligence, storage medium and server |
CN111476198B (en) * | 2020-04-24 | 2023-09-26 | 广西安良科技有限公司 | Gait recognition method, device, system, storage medium and server based on artificial intelligence |
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