CN103607577A - Aged-care at home and security and protection system based on body motion trail analysis - Google Patents
Aged-care at home and security and protection system based on body motion trail analysis Download PDFInfo
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- CN103607577A CN103607577A CN201310629344.4A CN201310629344A CN103607577A CN 103607577 A CN103607577 A CN 103607577A CN 201310629344 A CN201310629344 A CN 201310629344A CN 103607577 A CN103607577 A CN 103607577A
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Abstract
The invention discloses an aged-care at home and security and protection system based on body motion trail analysis. The system comprises a camera shooting module, a transmission module, a control module, a display module, a recording register module and an intelligent analysis module, wherein the camera shooting module is used for collecting a meta-video signal and transmitting the meta-video signal to the intelligent analysis module and the recording register module, the transmission module is used for connecting and transmitting various video signals and controlling the signals and has basic functions of wide bandwidths, interference resistance and the like, the control module comprises a pan-tilt and a main control center, the display module is used for displaying various information processed by the intelligent analysis module, the recording register module comprises an embedded type NVR and various high solution storage products and is used for constantly recording and storing the collected video signals and the analysis information, and the intelligent analysis module analyzes and processes the high solution meta-video signal provided by the camera shooting module. The aged-care at home and security and protection system based on the body motion trail analysis can improve analysis accuracy through analysis and comparison of movement trails of people.
Description
Technical field
The present invention relates to family endowment technical field, be specifically related to a kind of family endowment safety-protection system of analyzing based on human body motion track.
Background technology
In the whichever epoch, burglary is a very important problem in security protection at home always.How can effectively prevent the late into the night, or burglary when unoccupied, become the most important thing of security protection.Day by day serious along with social safety problem nowadays, security protection problem becomes a problem in the urgent need to address.House of today safety-protection system, except anti-theft net, most of Dou Shiyi such as antitheft door community is unit, by take video monitoring as supplementary means, the safety-protection system that the manpower monitoring of take is Main Means.The gateway of Ji community and vital area are installed camera, the means of then monitoring by Security Personnel.We are by Field Research, and interview businessman is recognized, camera security system of today, and leading advantage is high definition, improves the efficiency of system by the camera of high definition.But this method needs Security Personnel to focus one's attention on for a long time, and inefficiency.
Summary of the invention
For the problem of the information overabundance of existing video monitoring system, solve the analysis of existing video monitoring system supportive behavior, extract more direct active data information.The present invention, by video monitoring system, provides intelligent behavior analytical system and corresponding method, realizes the protection of better home safety.
The embodiment of the present invention provides a kind of family endowment safety-protection system of analyzing based on human body motion track, and described system comprises:
Photographing module, for being transferred to gathered first vision signal intelligent analysis module and being recorded Registration Module by transport module;
Transport module, for connecting and transmitting various vision signals and control signal, has the basic function of the anti-interference grade of high bandwidth;
Control module, comprises The Cloud Terrace and main control centre, comprises and receives control signal and the Artificial Control signal that intelligent analysis module produces, and by transport module, the equipment in photographing module is controlled in real time;
Display module, for showing intelligent analysis module processing various information afterwards;
Record Registration Module, comprise embedded NVR, various high definition stored prods, record stores vision signal and the analytical information gathering enduringly;
Intelligent analysis module, the high definition unit vision signal that analyzing and processing is provided by photographing module, carries out early warning and prompting for the abnormal motion track in video, and the control signal producing is transferred to respectively control module and display module with analysis data.
Described intelligent analysis module utilizes background subtraction, time difference to extract the house old man in video, between continuous picture frame, based on texture, color, shape, position, speed etc., carry out Corresponding matching, can extract out each old man's consecutive image within a certain period of time at home, consecutive image to each house old man is processed, the tracking of utilization based on model, can draw in consecutive image, at home old man's movement locus sequence.
Described intelligent analysis module, to the origin coordinates in motion sequence, at the percentage of shared time of sensitive area with carry out comprehensive assessment with the similarity degree of original common track, draws comprehensive suspicious degree, thereby reaches the analysis to movement locus.
The present invention has following beneficial effect, can pass through the analyses and comparison of people's movement locus, improves the accuracy of analysis.The seizure of movement locus and recording technique are very ripe and extensively apply to digital camera, in the middle of the first-class electronic equipments of making a video recording.By record, there is at home the information such as the proprietary movement locus of environment, then by with the comparing of some storage data, whether extremely analyze this person, and then give the alarm.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, to the accompanying drawing of required use in embodiment or description of the Prior Art be briefly described below, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skills, do not paying under the prerequisite of creative work, can also obtain according to these accompanying drawings other accompanying drawing.
Fig. 1 is the family endowment safety-protection system structural representation of analyzing based on human body motion track in the embodiment of the present invention.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is clearly and completely described, obviously, described embodiment is only the present invention's part embodiment, rather than whole embodiment.Embodiment based in the present invention, those of ordinary skills, not making all other embodiment that obtain under creative work prerequisite, belong to the scope of protection of the invention.
The invention provides a kind of house safety-protection system of analyzing based on human body motion track, different from safety defense monitoring system is in the past, the method is analyzed for the movement locus of the human body in vision signal, and the abnormal behaviour that may occur in track and abnormal operation are carried out to early warning.This can, on the basis of original video information, process and produce more effective, valuable information.
Of the present invention focusing on: whether to a known indoor human body motion track, analyzing and pick out this movement locus is abnormal movement locus, and possibility exists abnormal behaviour and abnormal operation.
According to investigation, suspect bores the means burglaries such as window at the He Pa building of taking to be a sneak thief more, and target fixes on the article that cash, jewellery, bankbook, bank card etc. are convenient to take away, and generally can more than 30 minutes in the time of indoor stop.Therefore, for starting point, be the movement locus of the improper gateways such as balcony, window, be very likely the movement locus of thief's burglary; After entering the room, the movement locus stopping above at a plurality of wardrobes or drawer in the short time, is likely the movement locus that thief stays ransacking boxes and chests, need look for property time; For the movement locus with recorded very big difference in the past, it is likely also the movement locus that thief or stranger stay.To this, it is as follows that we define abnormal movement locus.
An abnormal movement locus comprises following feature:
1. the starting point of movement locus is the improper gateways such as balcony or window;
2. movement locus stops in a plurality of sensitive areas.
Movement locus with recorded great difference in the past;
Because the duration of burglary conventionally can more than 30 minutes, thus system detect someone enter indoor in, its movement locus of first 30 minutes is analyzed, whether can pick out is abnormal movement locus.
In the present invention, movement locus represents by the time series of house old man's position coordinates.For feature one, definition independent variable X1, if infructescence starting point is the improper entrances such as window balcony, X1 is 1, otherwise is 0; For feature two, defining independent variable X2 is the percentage of observed object in shared sequence total time time of sensitizing range stop; For feature three, this sequence that definition independent variable X3 calculates for the basis probabilistic model that record obtained in the past meets the probability of legal sequence.By to these three independent variable X1, X2, the weighted sum of X3, can calculate the total points of the suspicious degree of this sequence.If this mark surpasses certain threshold value, carry out alarm flow process.
Fig. 1 shows the family endowment safety-protection system structural representation of analyzing based on human body motion track in the embodiment of the present invention, and this safety defense monitoring system is mainly comprised of shooting, transmission, control, demonstration, record registration and the large module of intellectual analysis 6.Functions is as follows:
Photographing module mainly comprises various types of high-definition cameras, provides all-dimensional all-weather unremitting real-time monitoring in 24 hours, and gathered first vision signal is transferred to intelligent analysis module and is recorded Registration Module by transport module.
Transport module is for connection and transmit various vision signals and control signal.There is the basic function of the anti-interference grade of high bandwidth.
Control module, mainly comprises The Cloud Terrace and main control centre.Comprise and receive control signal and the Artificial Control signal that intelligent analysis module produces, and by transport module, the equipment in photographing module is controlled in real time.
Display module, for showing intelligent analysis module processing various information afterwards.
Record Registration Module, comprise embedded NVR, various high definition stored prods.Record stores vision signal and the analytical information gathering enduringly.
Intelligent analysis module.The high definition unit vision signal that analyzing and processing is provided by photographing module, carries out early warning and prompting for the abnormal motion track in video, and the control signal producing is transferred to respectively control module and display module with analysis data.
The intelligent analysis module here utilizes background subtraction, time difference to extract the house old man in video, between continuous picture frame, based on texture, color, shape, position, speed etc., carry out Corresponding matching, can extract out each old man's consecutive image within a certain period of time at home, consecutive image to each house old man is processed, the tracking of utilization based on model, can draw in consecutive image, at home old man's movement locus sequence.
The intelligent analysis module here, to the origin coordinates in motion sequence, at the percentage of shared time of sensitive area with carry out comprehensive assessment with the similarity degree of original common track, draws comprehensive suspicious degree, thereby reaches the analysis to movement locus.
To further illustrate the workflow of the house safety-protection system of analyzing based on human body motion track below:
The first step, photographing module gathers video information, by transport module, is transferred to intelligent analysis module and memory module;
Second step, intelligent analysis module receives after the primary signal that transport module transmits first to vision signal preliminary treatment, comprises filtering, strengthens etc.
The 3rd step, intelligent analysis module uses background subtraction, time difference to extract the house old man in video.Between continuous picture frame, based on texture, color, shape, position, speed etc., carry out Corresponding matching, can extract out each old man's consecutive image within a certain period of time at home.
The 4th step, intelligent analysis module is processed each house old man's consecutive image, utilizes the tracking based on model, can draw in consecutive image, at home old man's movement locus sequence.
The 5th step, after intelligent analysis module obtains movement locus sequence, calculates respectively independent variable X1 to each feature, X2, and the value of X3, thus draw the score of suspicious degree.
The 6th step, intelligent analysis module draws the probability of abnormal behaviour and the alert threshold comparison of setting.If surpass threshold value, carry out alarm flow process, otherwise, this behavior is considered as to normal behaviour, do not react.
The present invention has following beneficial effect, can pass through the analyses and comparison of people's movement locus, improves the accuracy of analysis.The seizure of movement locus and recording technique are very ripe and extensively apply to digital camera, in the middle of the first-class electronic equipments of making a video recording.By record, there is at home the information such as the proprietary movement locus of environment, then by with the comparing of some storage data, whether extremely analyze this person, and then give the alarm.The movement locus of falling down by the elderly, when the elderly falls down, by the analysis of the elderly's movement locus and judgement, safety-protection system can be from trend community property automatic alarm, or has on the household's that warning message passes on mobile phone.
One of ordinary skill in the art will appreciate that all or part of step in the whole bag of tricks of above-described embodiment is to come the hardware that instruction is relevant to complete by program, this program can be stored in a computer-readable recording medium, storage medium can comprise: read-only memory (ROM, Read Only Memory), random access memory (RAM, Random Access Memory), disk or CD etc.
The method and system of a kind of andriod intelligent television based on the speech recognition above embodiment of the present invention being provided are described in detail, applied specific case herein principle of the present invention and execution mode are set forth, the explanation of above embodiment is just for helping to understand method of the present invention and core concept thereof; , for one of ordinary skill in the art, according to thought of the present invention, all will change in specific embodiments and applications, in sum, this description should not be construed as limitation of the present invention meanwhile.
Claims (3)
1. a family endowment safety-protection system of analyzing based on human body motion track, is characterized in that, described system comprises:
Photographing module, for being transferred to gathered first vision signal intelligent analysis module and being recorded Registration Module by transport module;
Transport module, for connecting and transmitting various vision signals and control signal, has the basic function of the anti-interference grade of high bandwidth;
Control module, comprises The Cloud Terrace and main control centre, comprises and receives control signal and the Artificial Control signal that intelligent analysis module produces, and by transport module, the equipment in photographing module is controlled in real time;
Display module, for showing intelligent analysis module processing various information afterwards;
Record Registration Module, comprise embedded NVR, various high definition stored prods, record stores vision signal and the analytical information gathering enduringly;
Intelligent analysis module, the high definition unit vision signal that analyzing and processing is provided by photographing module, carries out early warning and prompting for the abnormal motion track in video, and the control signal producing is transferred to respectively control module and display module with analysis data.
2. the family endowment safety-protection system of analyzing based on human body motion track as claimed in claim 1, it is characterized in that, described intelligent analysis module is utilized background subtraction, time difference extracts the house old man in video, between continuous picture frame based on texture, color, shape, position, speed etc. are carried out Corresponding matching, can extract out each old man's consecutive image within a certain period of time at home, consecutive image to each house old man is processed, the tracking of utilization based on model, can draw in consecutive image, house old man's movement locus sequence.
3. the family endowment safety-protection system of analyzing based on human body motion track as claimed in claim 1, it is characterized in that, described intelligent analysis module is to the origin coordinates in motion sequence, at the percentage of shared time of sensitive area with carry out comprehensive assessment with the similarity degree of original common track, draw comprehensive suspicious degree, thereby reach the analysis to movement locus.
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| CN201310629344.4A CN103607577A (en) | 2013-11-29 | 2013-11-29 | Aged-care at home and security and protection system based on body motion trail analysis |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103886526A (en) * | 2014-03-03 | 2014-06-25 | 中山大学 | Resource integration system and method for home-based care for the aged health service system |
| CN104853161A (en) * | 2015-05-11 | 2015-08-19 | 董宜平 | Video surveillance system of trajectory |
| CN109102613A (en) * | 2018-08-31 | 2018-12-28 | 广州洪荒智能科技有限公司 | A kind of Community Watch method based on recognition of face |
| CN112040304A (en) * | 2020-09-04 | 2020-12-04 | 上海阅目科技有限公司 | Hard disk video recorder system supporting wireless screen projection |
| CN113269081A (en) * | 2021-05-20 | 2021-08-17 | 上海仪电数字技术股份有限公司 | System and method for automatic personnel identification and video track query |
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| CN101621673A (en) * | 2009-07-30 | 2010-01-06 | 杭州联图科技有限公司 | Intelligent network security monitoring camera |
| CN103632479A (en) * | 2013-11-28 | 2014-03-12 | 中山大学 | Home-based care for the aged security and protection system based on human motion trajectory analysis |
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2013
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Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN101621673A (en) * | 2009-07-30 | 2010-01-06 | 杭州联图科技有限公司 | Intelligent network security monitoring camera |
| CN103632479A (en) * | 2013-11-28 | 2014-03-12 | 中山大学 | Home-based care for the aged security and protection system based on human motion trajectory analysis |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103886526A (en) * | 2014-03-03 | 2014-06-25 | 中山大学 | Resource integration system and method for home-based care for the aged health service system |
| CN104853161A (en) * | 2015-05-11 | 2015-08-19 | 董宜平 | Video surveillance system of trajectory |
| CN109102613A (en) * | 2018-08-31 | 2018-12-28 | 广州洪荒智能科技有限公司 | A kind of Community Watch method based on recognition of face |
| CN109102613B (en) * | 2018-08-31 | 2021-04-23 | 广州云从洪荒智能科技有限公司 | Community monitoring method based on face recognition |
| CN112040304A (en) * | 2020-09-04 | 2020-12-04 | 上海阅目科技有限公司 | Hard disk video recorder system supporting wireless screen projection |
| CN113269081A (en) * | 2021-05-20 | 2021-08-17 | 上海仪电数字技术股份有限公司 | System and method for automatic personnel identification and video track query |
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