CN104463174A - Multi-angle dynamic people recognition and behavior prediction system - Google Patents
Multi-angle dynamic people recognition and behavior prediction system Download PDFInfo
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- CN104463174A CN104463174A CN201410774485.XA CN201410774485A CN104463174A CN 104463174 A CN104463174 A CN 104463174A CN 201410774485 A CN201410774485 A CN 201410774485A CN 104463174 A CN104463174 A CN 104463174A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/20—Movements or behaviour, e.g. gesture recognition
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
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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
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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
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Abstract
The invention provides a multi-angle dynamic people recognition and behavior prediction system which comprises a video monitoring terminal and a recognition and prediction system. The recognition and prediction system comprises a human body feature collection module, a dynamic human body recognition module, a facial feature collection module, a dynamic face recognition module, a behavior mode modeling module and a behavior prediction module. The video monitoring terminal carries out data interaction with the human body feature collection module, the facial feature collection module, the behavior mode modeling module and the behavior prediction module through a wired, or 3G/4G or WIFI communication mode. The multi-angle dynamic people recognition and behavior prediction system is high in monitoring efficiency, event active response capability and accuracy rate, and lowers human input.
Description
Technical field
The present invention relates to field of intelligent video surveillance, more specifically, relate to the dynamic person recognition of a kind of multi-angle and behavior prediction system.
Background technology
Current video monitoring is mainly through recorded video and the evidence obtaining realized field condition of taking pictures, and advantage can be reviewed event, and shortcoming event of preventing in time to occur; And Another Application takes the on-the-spot intervention means of formula of manually supervising, advantage is can to guarded region decision event more accurately, more be tending towards hommization to the judgement of event, shortcoming is then need to drop into more manpower, and the judgment of people can produce tired along with prolongs operating time and reduce.Can think that said method is comparatively passive with this.
Along with the development of IT technology and Modern Manufacturing Technology, the individual computing power of computing machine is more next powerful, for character features identification provides outstanding hardware foundation, for character features identification provides the application foundation of supercomputing.Based on existing software and hardware technology, be aided with suitable human input again, can provide and compare the more perfect automatic active monitoring solution of traditional video surveillance technology, in raising monitoring efficiency, raising event active response ability and accuracy rate, reducing the aspects such as human input has larger improvement.
Summary of the invention
The invention provides the dynamic person recognition of a kind of multi-angle and behavior prediction system, improve monitoring efficiency, improve event active response ability and accuracy rate, reduce human input.
In order to reach above-mentioned technique effect, technical scheme of the present invention is as follows:
A kind of dynamic person recognition of multi-angle and behavior prediction system, comprise Video Monitoring Terminal and identification prediction system; Described identification prediction system comprises characteristics of human body's acquisition module, dynamic human body identification module, face feature acquisition module, dynamic facial identification module, behavior pattern MBM, behavior prediction module, and Video Monitoring Terminal carries out data interaction by the communication mode of wired, 3G/4G or WIFI and characteristics of human body's acquisition module, face feature acquisition module, behavior pattern MBM and behavior prediction module; The limbs characteristic information that characteristics of human body's acquisition module controls Video Monitoring Terminal collection human body is sent to dynamic human body identification module analyzing and processing; Face feature acquisition module controls Video Monitoring Terminal collection human face characteristic information and is sent to dynamic facial identification module analyzing and processing; Behavior pattern MBM controls Video Monitoring Terminal and catches the action movement rail of human body in real time and set up movement locus model for the human body captured, and behavior prediction module controls video monitoring and follows the tracks of the motion of human body eventually and judge next step action of human body according to the movement locus model prediction that behavior pattern MBM is set up.
In the present invention, by limbs and the face feature information of characteristics of human body's acquisition module and the monitored people of face feature acquisition module Real-time Collection, and identify corresponding characteristic information by dynamic human body identification module and dynamic facial identification module, system achieves autonomous recognition function, instead of in prior art the observation screen record or scene patrol on the spot that monitor staff will be leaned on artificial.And the present invention can also dope next step action of monitored personnel by behavior prediction module, thus the generation of some unsafe conditions can be avoided.
Further, it is the human body picture that the personnel entering monitoring range take multiple angle that described characteristics of human body's acquisition module controls Video Monitoring Terminal, and gather the wherein relative position of human body limb and the characteristic information of length be sent in dynamic human body identification module according to the human body picture of shooting, characteristics of human body's acquisition module is set up characteristics of human body's template database with the characteristic information collected for template and is saved in dynamic human body identification module simultaneously.
Further, the data in the characteristic information that characteristics of human body's acquisition module sends by described dynamic human body identification module and characteristics of human body's template database are analyzed, and return one or more human body indexes that likelihood is close.
Further, it is face's picture that the personnel entering monitoring range take multiple angle that described face feature acquisition module controls Video Monitoring Terminal, and being sent in dynamic facial identification module according to the characteristic information that the face picture of shooting gathers face's face relative position, face feature acquisition module is set up face feature template database with the characteristic information collected for template and is saved in dynamic facial identification module simultaneously.
Further, the data in the characteristic information that face feature acquisition module sends by described dynamic facial identification module and face feature template database are analyzed, and return one or more faces index that likelihood is close.
Further, described behavior pattern MBM controls the action that Video Monitoring Terminal catches the personnel entering monitoring range in real time, be sent in behavior prediction module for its action movement track Modling model of various posture within one period of continuous time, simultaneously behavior pattern MBM is set up movement locus feature templates database with the action movement locus model set up for template and is saved in behavior prediction module.
Further, described identification prediction system also comprises an alarm module, when the human body index that dynamic human body identification module returns or face's index that dynamic facial identification module returns and the pre-recorded good personnel entered within the scope of the dynamic person recognition of this multi-angle and behavior prediction system monitoring that have the right are not inconsistent, alarm module sends alert notice monitor staff and processes in time.
Further, described identification prediction system also comprises an alarm module, is that when will enter arbitrary hazardous location, alarm module sends alert notice, and it is withdrawn when behavior prediction module predicts next step action of personnel entered in monitoring range.
Compared with prior art, the beneficial effect of technical solution of the present invention is:
Limbs and the face feature information of characteristics of human body's acquisition module and the monitored people of face feature acquisition module Real-time Collection is passed through in the present invention, and identify corresponding characteristic information by dynamic human body identification module and dynamic facial identification module, when the human body information that dynamic human body identification module returns or the facial information that dynamic facial identification module returns and the pre-recorded good personnel entered within the scope of the dynamic person recognition of this multi-angle and behavior prediction system monitoring that have the right are not inconsistent, alarm module sends alert notice monitor staff and processes in time, when will enter arbitrary hazardous location when behavior prediction module predicts next step action of personnel entered in monitoring range simultaneously, alarm module sends alert notice, and it is withdrawn, achieve autonomous recognition function, instead of in prior art the observation screen record that monitor staff will be leaned on artificial or scene patrol on the spot turn improves monitoring efficiency.
Accompanying drawing explanation
Fig. 1 is structural drawing of the present invention.
Embodiment
Accompanying drawing, only for exemplary illustration, can not be interpreted as the restriction to this patent;
In order to better the present embodiment is described, some parts of accompanying drawing have omission, zoom in or out, and do not represent the size of actual product;
To those skilled in the art, in accompanying drawing, some known features and explanation thereof may be omitted is understandable.
Below in conjunction with drawings and Examples, technical scheme of the present invention is described further.
Embodiment 1
As shown in Figure 1, the dynamic person recognition of a kind of multi-angle and behavior prediction system, comprise Video Monitoring Terminal and identification prediction system; Described identification prediction system comprises characteristics of human body's acquisition module, dynamic human body identification module, face feature acquisition module, dynamic facial identification module, behavior pattern MBM, behavior prediction module, and Video Monitoring Terminal carries out data interaction by the communication mode of wired, 3G/4G or WIFI and characteristics of human body's acquisition module, face feature acquisition module, behavior pattern MBM and behavior prediction module; The limbs characteristic information that characteristics of human body's acquisition module controls Video Monitoring Terminal collection human body is sent to dynamic human body identification module analyzing and processing; Face feature acquisition module controls Video Monitoring Terminal collection human face characteristic information and is sent to dynamic facial identification module analyzing and processing; Behavior pattern MBM controls Video Monitoring Terminal and catches the action movement rail of human body in real time and set up movement locus model for the human body captured, and behavior prediction module controls video monitoring and follows the tracks of the motion of human body eventually and judge next step action of human body according to the movement locus model prediction that behavior pattern MBM is set up.
In the present embodiment, it is the human body picture that the personnel entering monitoring range take multiple angle that characteristics of human body's acquisition module controls Video Monitoring Terminal, and gather the wherein relative position of human body limb and the characteristic information of length be sent in dynamic human body identification module according to the human body picture of shooting, characteristics of human body's acquisition module is set up characteristics of human body's template database with the characteristic information collected for template and is saved in dynamic human body identification module simultaneously.
Data in the characteristic information that characteristics of human body's acquisition module sends by dynamic human body identification module and characteristics of human body's template database are analyzed, and return one or more human body indexes that likelihood is close.
In the present embodiment, it is face's picture that the personnel entering monitoring range take multiple angle that face feature acquisition module controls Video Monitoring Terminal, and being sent in dynamic facial identification module according to the characteristic information that the face picture of shooting gathers face's face relative position, face feature acquisition module is set up face feature template database with the characteristic information collected for template and is saved in dynamic facial identification module simultaneously.
Data in the characteristic information that face feature acquisition module sends by dynamic facial identification module and face feature template database are analyzed, and return one or more faces index that likelihood is close.
In the present embodiment, behavior pattern MBM controls the action that Video Monitoring Terminal catches the personnel entering monitoring range in real time, be sent in behavior prediction module for its action movement track Modling model of various posture within one period of continuous time, simultaneously behavior pattern MBM is set up movement locus feature templates database with the action movement locus model set up for template and is saved in behavior prediction module.
In the present embodiment, identification prediction system also comprises an alarm module, when the human body index that dynamic human body identification module returns or face's index that dynamic facial identification module returns and the pre-recorded good personnel entered within the scope of the dynamic person recognition of this multi-angle and behavior prediction system monitoring that have the right are not inconsistent, alarm module sends alert notice monitor staff and processes in time; That when will enter arbitrary hazardous location, alarm module sends alert notice, and it is withdrawn when behavior prediction module predicts next step action of personnel entered in monitoring range.
The corresponding same or analogous parts of same or analogous label;
Describe in accompanying drawing position relationship for only for exemplary illustration, the restriction to this patent can not be interpreted as;
Obviously, the above embodiment of the present invention is only for example of the present invention is clearly described, and is not the restriction to embodiments of the present invention.For those of ordinary skill in the field, can also make other changes in different forms on the basis of the above description.Here exhaustive without the need to also giving all embodiments.All any amendments done within the spirit and principles in the present invention, equivalent to replace and improvement etc., within the protection domain that all should be included in the claims in the present invention.
Claims (8)
1. the dynamic person recognition of multi-angle and a behavior prediction system, is characterized in that, comprises Video Monitoring Terminal and identification prediction system;
Described identification prediction system comprises characteristics of human body's acquisition module, dynamic human body identification module, face feature acquisition module, dynamic facial identification module, behavior pattern MBM, behavior prediction module, and Video Monitoring Terminal carries out data interaction by the communication mode of wired, 3G/4G or WIFI and characteristics of human body's acquisition module, face feature acquisition module, behavior pattern MBM and behavior prediction module; The limbs characteristic information that characteristics of human body's acquisition module controls Video Monitoring Terminal collection human body is sent to dynamic human body identification module analyzing and processing; Face feature acquisition module controls Video Monitoring Terminal collection human face characteristic information and is sent to dynamic facial identification module analyzing and processing; Behavior pattern MBM controls Video Monitoring Terminal and catches the action movement rail of human body in real time and set up movement locus model for the human body captured, and behavior prediction module controls video monitoring and follows the tracks of the motion of human body eventually and judge next step action of human body according to the movement locus model prediction that behavior pattern MBM is set up.
2. the dynamic person recognition of multi-angle according to claim 1 and behavior prediction system, it is characterized in that, it is the human body picture that the personnel entering monitoring range take multiple angle that described characteristics of human body's acquisition module controls Video Monitoring Terminal, and gather the wherein relative position of human body limb and the characteristic information of length be sent in dynamic human body identification module according to the human body picture of shooting, characteristics of human body's acquisition module is set up characteristics of human body's template database with the characteristic information collected for template and is saved in dynamic human body identification module simultaneously.
3. the dynamic person recognition of multi-angle according to claim 2 and behavior prediction system, it is characterized in that, data in the characteristic information that characteristics of human body's acquisition module sends by described dynamic human body identification module and characteristics of human body's template database are analyzed, and return one or more human body indexes that likelihood is close.
4. the dynamic person recognition of multi-angle according to claim 3 and behavior prediction system, it is characterized in that, it is face's picture that the personnel entering monitoring range take multiple angle that described face feature acquisition module controls Video Monitoring Terminal, and being sent in dynamic facial identification module according to the characteristic information that the face picture of shooting gathers face's face relative position, face feature acquisition module is set up face feature template database with the characteristic information collected for template and is saved in dynamic facial identification module simultaneously.
5. the dynamic person recognition of multi-angle according to claim 4 and behavior prediction system, it is characterized in that, data in the characteristic information that face feature acquisition module sends by described dynamic facial identification module and face feature template database are analyzed, and return one or more faces index that likelihood is close.
6. the dynamic person recognition of multi-angle according to claim 5 and behavior prediction system, it is characterized in that, described behavior pattern MBM controls the action that Video Monitoring Terminal catches the personnel entering monitoring range in real time, be sent in behavior prediction module for its action movement track Modling model of various posture within one period of continuous time, simultaneously behavior pattern MBM is set up movement locus feature templates database with the action movement locus model set up for template and is saved in behavior prediction module.
7. the dynamic person recognition of multi-angle according to claim 6 and behavior prediction system, it is characterized in that, described identification prediction system also comprises an alarm module, when the human body index that dynamic human body identification module returns or face's index that dynamic facial identification module returns and the pre-recorded good personnel entered within the scope of the dynamic person recognition of this multi-angle and behavior prediction system monitoring that have the right are not inconsistent, alarm module sends alert notice monitor staff and processes in time.
8. the dynamic person recognition of multi-angle according to claim 6 and behavior prediction system, it is characterized in that, described identification prediction system also comprises an alarm module, that when will enter arbitrary hazardous location, alarm module sends alert notice, and it is withdrawn when behavior prediction module predicts next step action of personnel entered in monitoring range.
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| CN105263040A (en) * | 2015-10-08 | 2016-01-20 | 安徽理工大学 | Method for watching ball game live broadcast in mobile phone flow saving mode |
| CN106377265A (en) * | 2016-09-21 | 2017-02-08 | 俞大海 | Behavior detection system based on depth image and eye movement watching information |
| CN107452027A (en) * | 2017-07-29 | 2017-12-08 | 安徽博威康信息技术有限公司 | A kind of target person method for security protection based on multi-cam monitoring |
| CN107688766A (en) * | 2016-08-04 | 2018-02-13 | 惠州学院 | A kind of system based on manikin Activity recognition |
| CN108833851A (en) * | 2018-07-04 | 2018-11-16 | 南京原觉信息科技有限公司 | A kind of monitoring method and system based on image spiral line |
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| CN109257572A (en) * | 2018-11-01 | 2019-01-22 | 珠海格力电器股份有限公司 | A kind of control method of monitoring head, device, equipment, medium and security system |
| CN109492595A (en) * | 2018-11-19 | 2019-03-19 | 浙江传媒学院 | Behavior prediction method and system suitable for fixed group |
| CN109497886A (en) * | 2018-11-06 | 2019-03-22 | 余姚市雷阵雨电器有限公司 | Background music real-time playing system |
| CN110070687A (en) * | 2019-03-18 | 2019-07-30 | 苏州凸现信息科技有限公司 | A kind of intelligent safety defense monitoring system and its working method based on motion analysis |
| CN110225301A (en) * | 2019-05-14 | 2019-09-10 | 广西科飞科技发展有限公司 | A kind of personnel's Trajectory Tracking System based on security system |
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| CN111476202A (en) * | 2020-04-30 | 2020-07-31 | 杨九妹 | User behavior analysis method and system of financial institution security system and robot |
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| CN104933422A (en) * | 2015-07-07 | 2015-09-23 | 安徽瑞宏信息科技有限公司 | An action recognition method based on human body part nodes |
| CN105263040A (en) * | 2015-10-08 | 2016-01-20 | 安徽理工大学 | Method for watching ball game live broadcast in mobile phone flow saving mode |
| CN107688766A (en) * | 2016-08-04 | 2018-02-13 | 惠州学院 | A kind of system based on manikin Activity recognition |
| CN106377265A (en) * | 2016-09-21 | 2017-02-08 | 俞大海 | Behavior detection system based on depth image and eye movement watching information |
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| CN108897231A (en) * | 2018-02-08 | 2018-11-27 | 深圳迈睿智能科技有限公司 | behavior prediction system and behavior prediction method |
| CN108833851A (en) * | 2018-07-04 | 2018-11-16 | 南京原觉信息科技有限公司 | A kind of monitoring method and system based on image spiral line |
| CN109257572A (en) * | 2018-11-01 | 2019-01-22 | 珠海格力电器股份有限公司 | A kind of control method of monitoring head, device, equipment, medium and security system |
| CN109497886A (en) * | 2018-11-06 | 2019-03-22 | 余姚市雷阵雨电器有限公司 | Background music real-time playing system |
| CN109492595A (en) * | 2018-11-19 | 2019-03-19 | 浙江传媒学院 | Behavior prediction method and system suitable for fixed group |
| CN110070687A (en) * | 2019-03-18 | 2019-07-30 | 苏州凸现信息科技有限公司 | A kind of intelligent safety defense monitoring system and its working method based on motion analysis |
| CN110225301A (en) * | 2019-05-14 | 2019-09-10 | 广西科飞科技发展有限公司 | A kind of personnel's Trajectory Tracking System based on security system |
| CN110619527A (en) * | 2019-09-27 | 2019-12-27 | 中国银行股份有限公司 | Fraud early warning information generation method and device |
| CN110765955A (en) * | 2019-10-25 | 2020-02-07 | 北京威晟艾德尔科技有限公司 | Method for identifying human in video file |
| CN111476202A (en) * | 2020-04-30 | 2020-07-31 | 杨九妹 | User behavior analysis method and system of financial institution security system and robot |
| CN111476202B (en) * | 2020-04-30 | 2021-05-25 | 浙江申汇金融服务外包有限公司 | User behavior analysis method and system of security system |
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