CN110070687A - A kind of intelligent safety defense monitoring system and its working method based on motion analysis - Google Patents
A kind of intelligent safety defense monitoring system and its working method based on motion analysis Download PDFInfo
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- CN110070687A CN110070687A CN201910201895.8A CN201910201895A CN110070687A CN 110070687 A CN110070687 A CN 110070687A CN 201910201895 A CN201910201895 A CN 201910201895A CN 110070687 A CN110070687 A CN 110070687A
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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
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- Computer Vision & Pattern Recognition (AREA)
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Abstract
The present invention relates to a kind of intelligent safety defense monitoring system and its working method based on motion analysis, comprising: video surveillance module, further includes: control processor, cloud monitoring center;The video surveillance module includes several video monitoring apparatus and motion analysis unit;The motion analysis unit is connect with the video monitoring apparatus, and the motion analysis unit is used to obtain facial characteristics and the personnel activity's time of the personnel in the monitoring image within the scope of designated position;The motion analysis unit is used to analyze the personnel in the monitoring image within the scope of designated position with the presence or absence of abnormal behaviour;The control processor and the cloud monitoring center are wirelessly connected, and the control processor is to the cloud monitoring center output abnormality alarm;The motion analysis unit is also exported to the control processor there are the position of the personnel of abnormal behaviour, and there are the positions of the personnel of abnormal behaviour to export to the cloud monitoring center by described for the control processor.
Description
Technical field
The present invention relates to protection and monitor field, in particular to a kind of intelligent safety defense monitoring system based on motion analysis and its
Working method.
Background technique
Safety defense monitoring system be using optical fiber, coaxial cable or microwave its closure loop in transmission video signal, and
The system for constituting independent completion is shown and recorded from camera shooting to image.It can in real time, image, be truly reflected monitored object,
The viewing distance of human eye is not only greatly extended, and expands the function of human eye, it can be replaced under rugged environment
It is artificial to carry out long-time monitoring, allow people it can be seen that being monitored all situations actually occurred at scene, and remember by video recorder
Record is got off.
Existing safety monitoring is merely capable of realizing the monitoring to environment, can not divide the human behavior in environment
Analysis, cannot find a suspect in time.Especially for the monitoring on school doorway, due in the time gone to school Yu classes are over
Section, doorway densely populated place, safety is poor, by simply monitoring the timely discovery that can not achieve to a suspect.
Summary of the invention
Goal of the invention:
Aiming at the problem that the existing monitoring mentioned in background technique cannot carry out behavioural analysis to the personnel in environment, the present invention is mentioned
For a kind of intelligent safety defense monitoring system and its working method based on motion analysis.
Technical solution:
A kind of intelligent safety defense monitoring system based on motion analysis, comprising: video surveillance module, further includes: control processor, cloud
Hold monitoring center;
The video surveillance module includes several video monitoring apparatus and motion analysis unit;The video monitoring apparatus is distributed in
The surrounding of designated position, for monitoring the personnel activity within the scope of designated position;The motion analysis unit and the video are supervised
Device connection is controlled, the video monitoring apparatus exports the monitoring image within the scope of designated position to the motion analysis unit,
The motion analysis unit is used to obtain facial characteristics and the personnel activity of the personnel in the monitoring image within the scope of designated position
Time;The personnel that the motion analysis unit is used to analyze in the monitoring image within the scope of designated position whether there is abnormal row
For;
The motion analysis unit is connect with the control processor, and the motion analysis unit is exported to the control processor
The judgement result of abnormal behaviour;The control processor and the cloud monitoring center are wirelessly connected, the control processor to
The cloud monitoring center output abnormality alarm;
The motion analysis unit is also exported to the control processor there are the position of the personnel of abnormal behaviour, at the control
There are the positions of the personnel of abnormal behaviour to export to the cloud monitoring center by described for reason device;
The cloud monitoring center receives the alarm signal and described there are behind the position of the personnel of abnormal behaviour, Xiang Zhiding
Personnel export prompt information.
As a kind of preferred embodiment of the invention, the video surveillance module further includes facial database, the face number
According to library for storing face data;The motion analysis unit obtains the facial characteristics of the personnel in the range of designated position and deposits
It is stored in described facial data library.
As a kind of preferred embodiment of the invention, motion analysis unit obtains facial characteristics and the institute of the personnel currently occurred
The facial characteristics in facial database is stated with the presence or absence of overlapping, if it is not, then to the lasting activity for obtaining the personnel;If the personnel exist
Predeterminated position in preset time within the scope of designated position then determines the personnel, and there are abnormal behaviours.
As a kind of preferred embodiment of the invention, the motion analysis unit obtains personnel's facial characteristics, and obtains the people
The movable period, the motion analysis unit was by personnel activity's period as personnel activity's period in the range of designated position by member
It is stored in described facial data library and is associated with corresponding personnel's face data.
As a kind of preferred embodiment of the invention, the motion analysis unit obtains the facial characteristics of the personnel currently occurred
With the facial characteristics in described facial data library with the presence or absence of Chong Die, if so, obtaining the inactivity period of the personnel;If when current
Between with inactivity period there is no Chong Die, then determine that there are abnormal behaviours by the personnel.
A kind of working method of the intelligent safety defense monitoring system based on motion analysis, including following methods:
Monitoring device obtains personnel activity's image in the range of designated position;
Monitoring device exports personnel activity's image to motion analysis unit;
Motion analysis unit obtains personnel activity's image in specified range, and it is special to extract the face of the personnel in personnel activity's image
Sign and personnel activity's time;
Motion analysis unit determines the personnel with the presence or absence of abnormal behaviour the time according to personnel's facial characteristics and personnel activity;
Abnormal behaviour if it exists, then judgement result of the motion analysis unit to control processor output abnormality behavior;
After control processor receives the judgement result of abnormal behaviour, Xiang Yunduan monitoring center exports alarm signal;
In addition, motion analysis unit obtains the position for being determined the personnel there are abnormal behaviour, and exported to control processor;
Control processor exports personnel positions to cloud monitoring center.
Personnel activity's image as a kind of preferred embodiment of the invention, in the range of monitoring device obtains designated position
Afterwards, including following methods:
Monitoring device obtains personnel activity's image in the range of designated position;
Motion analysis unit extracts the facial characteristics of the personnel in the range of designated position;
Personnel's facial characteristics of extraction is stored in facial database by motion analysis unit.
As a kind of preferred embodiment of the invention, after motion analysis unit obtains personnel's facial characteristics, including with lower section
Method:
Whether personnel's facial characteristics of extraction is retrieved to have in facial database and be overlapped by motion analysis unit
Face data;
If persistently obtaining the activity of the personnel without the face data overlapped in facial database;
Whether acquisition monitors the personnel close to predeterminated position within a preset time;
If so, determining the personnel, there are abnormal behaviours.
As a kind of preferred embodiment of the invention, after motion analysis unit obtains personnel's facial characteristics, including with lower section
Method:
Motion analysis unit obtains the initial time of appearance of personnel in the range of designated position;
Motion analysis unit obtains the personnel final time of appearance in the range of designated position;
Motion analysis unit obtains appearance period of personnel in the range of designated position as personnel activity's period, and by its
It is stored in facial database;
Personnel activity's period is associated with by facial database with personnel's face data.
As a kind of preferred embodiment of the invention, after motion analysis unit obtains personnel's facial characteristics, including with lower section
Method:
Whether personnel's facial characteristics of extraction is retrieved to have in facial database and be overlapped by motion analysis unit
Face data;
If there is the face data Chong Die with personnel's facial characteristics in facial database, when obtaining the activity of the current personnel
Section;
If currently the inactivity period with personnel's inactivity period in facial database of the personnel is not present Chong Die, the people is determined
There are abnormal behaviours by member.
The present invention realize it is following the utility model has the advantages that
It the activity video of personnel and is analyzed 1. a pair designated position is monitored, in extraction environment, it is living to extract personnel therein
Dynamic state, and it is judged with the presence or absence of abnormal behaviour, if sounding an alarm with the presence of personnel's abnormal behaviour, it is convenient for work
Make personnel in time to pay close attention to abnormal personnel;
2. the facial characteristics of couple personnel stores, convenient for that can be found in time when there are new personnel, while to new personnel's
Scope of activities is monitored, if the personnel close to designated position, determine that there are abnormal behaviours by the personnel;
3. the facial characteristics of couple personnel is stored with its inactivity period, if there is the personnel of record to go out in non-common inactivity period
Existing, then determining it, there are abnormal behaviours.
Detailed description of the invention
The drawings herein are incorporated into the specification and forms part of this specification, and shows the implementation for meeting the disclosure
Example, and consistent with the instructions for explaining the principles of this disclosure.
Fig. 1 is a kind of video surveillance module connection of intelligent safety defense monitoring system based on motion analysis provided by the invention
Figure;
Fig. 2 is a kind of connection figure of the intelligent safety defense monitoring system based on motion analysis provided by the invention;
Fig. 3 is a kind of video surveillance module connection figure of the intelligent safety defense monitoring system based on motion analysis provided by the invention;
Fig. 4 is a kind of motion analysis unit connection figure of the intelligent safety defense monitoring system based on motion analysis provided by the invention;
Fig. 5 is a kind of flow chart of the working method of the intelligent safety defense monitoring system based on motion analysis provided by the invention;
Fig. 6 is that a kind of judgement result of the working method of the intelligent safety defense monitoring system based on motion analysis provided by the invention is defeated
Flow chart out;
Fig. 7 is a kind of position output stream of the working method of the intelligent safety defense monitoring system based on motion analysis provided by the invention
Cheng Tu;
Fig. 8 is that a kind of face data of the working method of the intelligent safety defense monitoring system based on motion analysis provided by the invention is deposited
Store up flow chart;
Fig. 9 is that a kind of facial characteristics of the working method of the intelligent safety defense monitoring system based on motion analysis provided by the invention is sentenced
Determine flow chart;
Figure 10 is a kind of inactivity period of the working method of the intelligent safety defense monitoring system based on motion analysis provided by the invention
It is associated with flow chart;
Figure 11 is a kind of facial characteristics of the working method of the intelligent safety defense monitoring system based on motion analysis provided by the invention
Inactivity period decision flowchart.
Wherein: 1. video surveillance modules, 11. video monitoring apparatus, 12. motion analysis units, 13. facial databases, 2.
Control processor, 3. cloud monitoring centers.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.
Embodiment one
For Fig. 1-2.
A kind of intelligent safety defense monitoring system based on motion analysis, comprising: video surveillance module 1, further includes: control processing
Device 2, cloud monitoring center 3.
Video surveillance module 1 includes several video monitoring apparatus 11 and motion analysis unit 12.Video monitoring apparatus 11 divides
It is distributed in the surrounding of designated position, for monitoring the personnel activity within the scope of designated position.Motion analysis unit 12 and video monitoring
Device 11 connects, and video monitoring apparatus 11 exports the monitoring image within the scope of designated position to motion analysis unit 12, acts
Analytical unit 12 is used to obtain facial characteristics and the personnel activity's time of the personnel in the monitoring image within the scope of designated position.It is dynamic
The unit 12 that performs an analysis is used to analyze the personnel in the monitoring image within the scope of designated position with the presence or absence of abnormal behaviour.
Video monitoring apparatus 11 is monitoring camera, and video monitoring apparatus 11 is distributed in the surrounding of designated position, will refer to
It positions the environment set and carries out comprehensive monitoring.The monitoring range of several video monitoring apparatus 11 can have overlapping.
Designated position is the position that the safety defense monitoring system needs to monitor, if being set to school doorway, designated position is
The gate of school.Designated position range is then a certain range on school doorway, specifically, the range that can be delimited for school doorway.
Motion analysis unit 12 is connect with video monitor unit, and motion analysis unit 12 obtains video monitor unit output
Monitoring image simultaneously extracts facial characteristics therein, the activity time of the personnel including extracting facial characteristics therein.Activity time
Including time, the activity time in the range for time in the range occur, leaving the range.
Motion analysis unit 12 judges the personnel with the presence or absence of abnormal behaviour, specifically, determining different according to the image of extraction
The mode of Chang Hangwei includes: to determine whether the personnel are common personnel, i.e., whether the personnel are the normal people in the regional activity
Member, and determine whether the activity time of the personnel is normal time, i.e., when whether the period is the normal activity of the personnel
Between and whether be the region the normal activity time.
Motion analysis unit 12 is connect with control processor 2, and motion analysis unit 12 is to 2 output abnormality row of control processor
For judgement result.Control processor 2 and cloud monitoring center 3 are wirelessly connected, and control processor 2 is defeated to cloud monitoring center 3
Abnormality alarm out.
Motion analysis unit 12 exports the result of judgement to control processor 2, after control processor 2 receives the result
It is exported to cloud monitoring center 3.Control processor 2 and cloud monitoring center 3 can pass through the connection types such as wifi, GPRS, bluetooth
Connection.Cloud monitoring center 3 can be connect with alarm center, and specific alarm center can be the mechanisms such as local police station, room security.
In addition, motion analysis unit 12 connects all video monitoring apparatus 11, motion analysis unit 12 is analyzed all
The monitoring image that video monitoring apparatus 11 exports.
Also to the output of control processor 2, there are the position of the personnel of abnormal behaviour, control processors 2 for motion analysis unit 12
The position that the personnel of abnormal behaviour will be present is exported to cloud monitoring center 3.
The location information of abnormal behaviour personnel can be obtained by motion analysis unit 12, specifically, motion analysis unit 12 obtains
The regional scope for taking the video monitoring apparatus 11 of connection to monitor, different video monitoring apparatus 11 monitor different positions, specifically
, video monitoring apparatus 11 can be numbered according to region, and motion analysis unit 12 is sentenced according to the number of video monitoring apparatus 11
Position existing for fixing.
Cloud monitoring center 3 receive alarm signal with there are behind the position of the personnel of abnormal behaviour, it is defeated to designated person
Prompt information out.
After receiving prompt information, staff according to prompt information in time to have the personnel of abnormal behaviour control or
It is paid close attention to.
Embodiment two
With reference to for Fig. 3-4.
The present embodiment and above-described embodiment one are essentially identical, the difference is that, video surveillance module 1 further includes facial number
According to library 13, facial database 13 is for storing face data.Motion analysis unit 12 obtains the personnel in the range of designated position
Facial characteristics and be stored in facial database 13.
Facial database 13 is virtual data base, the use extracted in monitoring image for storing motion analysis unit 12
The facial characteristics at family.As an implementation, accumulative frequency of occurrence is counted to the facial characteristics of storage, it is default to having reached
The facial characteristics of threshold value is labeled as common personnel.
As a kind of preferred embodiment of the present embodiment, motion analysis unit 12 obtains the facial characteristics of the personnel currently occurred
With the facial characteristics in facial database 13 with the presence or absence of Chong Die, if it is not, the then activity to the lasting acquisition personnel.If the personnel
The predeterminated position within the scope of designated position then determines the personnel there are abnormal behaviours within a preset time.
By in the facial characteristics extracted and facial database 13, facial characteristics is compared motion analysis unit 12
It is right, if determining that there are facial characteristics overlappings there are the facial characteristics of characteristic matching in facial database 13.As a kind of reality
Mode is applied, the facial characteristics of single personnel needs all matchings that can determine that existing characteristics are overlapped.
If the facial characteristics of the personnel, there is no overlapping, which is to occur for the first time and the position, motion analysis list
Member 12 persistently obtains the active state of the personnel.
Predeterminated position within the scope of designated position may be configured as a region more smaller than designated position range area, specifically
, in campus context, it may be configured as a part of range on doorway.
Preset time specifically may be configured as the school, and classes are over and/or time for school section, specifically, can be according to the actual situation
It is adjusted.The preset time is the period.
As a kind of preferred embodiment of the present embodiment, motion analysis unit 12 obtains personnel's facial characteristics, and obtains the people
Member deposits personnel activity the period as personnel activity's period, motion analysis unit 12 movable period in the range of designated position
It is stored in facial database 13 and is associated with corresponding personnel's face data.
Movable period in the range of designated position refers to that the intermediate period occur in the range and leave in the personnel.
Personnel activity's period and the facial feature data of the personnel are bound.Personnel activity's period is the personnel in designated position range
The average value of the period inside repeatedly occurred.
As a kind of preferred embodiment of the present embodiment, motion analysis unit 12 obtains the facial characteristics of the personnel currently occurred
With the facial characteristics in facial database 13 with the presence or absence of Chong Die, if so, obtaining the inactivity period of the personnel.If current time
With inactivity period there is no Chong Die, then determine that there are abnormal behaviours by the personnel.
The face data of active user and the face data in facial database 13 are there are Chong Die, then from facial database 13
The corresponding inactivity period of interior acquisition personnel, simultaneously operation analytical unit 12 obtain the inactivity period of current persons, and will be current
Inactivity period be compared with the inactivity period in facial database 13, if the two there is no overlapping part, determine should
There are abnormal behaviours by personnel.
Embodiment three
With reference to for Fig. 5-11.
A kind of working method of the intelligent safety defense monitoring system based on motion analysis, including following methods:
Monitoring device obtains personnel activity's image in the range of designated position.
Monitoring device exports personnel activity's image to motion analysis unit 12.
Motion analysis unit 12 obtains personnel activity's image in specified range, and extracts the personnel in personnel activity's image
Facial characteristics and personnel activity's time.
Motion analysis unit 12 determines that the personnel whether there is abnormal row the time according to personnel's facial characteristics and personnel activity
For.
Abnormal behaviour if it exists, then judgement result of the motion analysis unit 12 to 2 output abnormality behavior of control processor.
After control processor 2 receives the judgement result of abnormal behaviour, Xiang Yunduan monitoring center 3 exports alarm signal.
In addition, motion analysis unit 12 obtains the position for the personnel there are abnormal behaviour of being determined, and to control processor 2
Output.
Control processor 2 exports personnel positions to cloud monitoring center 3.
Personnel activity's shadow as a kind of preferred embodiment of the present embodiment, in the range of monitoring device obtains designated position
As after, including following methods:
Monitoring device obtains personnel activity's image in the range of designated position.
Motion analysis unit 12 extracts the facial characteristics of the personnel in the range of designated position.
Personnel's facial characteristics of extraction is stored in facial database 13 by motion analysis unit 12.
As a kind of preferred embodiment of the present embodiment, after motion analysis unit 12 obtains personnel's facial characteristics, including with
Lower method:
Motion analysis unit 12 personnel's facial characteristics of extraction is retrieved in facial database 13 whether have it is heavy with it
Folded face data.
If persistently obtaining the activity of the personnel without the face data overlapped in facial database 13.
Whether acquisition monitors the personnel close to predeterminated position within a preset time.
If so, determining the personnel, there are abnormal behaviours.
As a kind of preferred embodiment of the present embodiment, after motion analysis unit 12 obtains personnel's facial characteristics, including with
Lower method:
Motion analysis unit 12 obtains the initial time of appearance of personnel in the range of designated position.
Motion analysis unit 12 obtains appearance final time of personnel in the range of designated position.
Motion analysis unit 12 obtains appearance period of personnel in the range of designated position as personnel activity's period,
And it is stored in facial database 13.
Personnel activity's period is associated with by facial database 13 with personnel's face data.
As a kind of preferred embodiment of the present embodiment, after motion analysis unit 12 obtains personnel's facial characteristics, including with
Lower method:
Motion analysis unit 12 personnel's facial characteristics of extraction is retrieved in facial database 13 whether have it is heavy with it
Folded face data.
If there is the face data Chong Die with personnel's facial characteristics in facial database 13, obtain the current personnel's
Inactivity period.
If currently the inactivity period with personnel's inactivity period in facial database 13 of the personnel is not present Chong Die, sentence
There are abnormal behaviours by the fixed personnel.
The above embodiments merely illustrate the technical concept and features of the present invention, and the purpose is to allow the skill for being familiar with the technical field
Art personnel can understand the content of the present invention and implement it accordingly, and can not be limited the scope of the invention with this.All bases
Equivalent changes or modifications made by spirit of the invention, should be covered by the protection scope of the present invention.
Claims (10)
1. a kind of intelligent safety defense monitoring system based on motion analysis, comprising: video surveillance module, which is characterized in that further include:
Control processor, cloud monitoring center;
The video surveillance module includes several video monitoring apparatus and motion analysis unit;The video monitoring apparatus is distributed in
The surrounding of designated position, for monitoring the personnel activity within the scope of designated position;The motion analysis unit and the video are supervised
Device connection is controlled, the video monitoring apparatus exports the monitoring image within the scope of designated position to the motion analysis unit,
The motion analysis unit is used to obtain facial characteristics and the personnel activity of the personnel in the monitoring image within the scope of designated position
Time;The personnel that the motion analysis unit is used to analyze in the monitoring image within the scope of designated position whether there is abnormal row
For;
The motion analysis unit is connect with the control processor, and the motion analysis unit is exported to the control processor
The judgement result of abnormal behaviour;The control processor and the cloud monitoring center are wirelessly connected, the control processor to
The cloud monitoring center output abnormality alarm;
The motion analysis unit is also exported to the control processor there are the position of the personnel of abnormal behaviour, at the control
There are the positions of the personnel of abnormal behaviour to export to the cloud monitoring center by described for reason device;
The cloud monitoring center receives the alarm signal and described there are behind the position of the personnel of abnormal behaviour, Xiang Zhiding
Personnel export prompt information.
2. a kind of intelligent safety defense monitoring system based on motion analysis according to claim 1, which is characterized in that the view
Frequency monitoring modular further includes facial database, and described facial data library is for storing face data;The motion analysis unit obtains
It takes the facial characteristics of the personnel in the range of designated position and is stored in described facial data library.
3. a kind of intelligent safety defense monitoring system based on motion analysis according to claim 2, which is characterized in that movement point
Analysis unit obtain the facial characteristics of personnel currently occurred whether there is with the facial characteristics in described facial data library it is Chong Die, if
It is no, then to the lasting activity for obtaining the personnel;If the personnel predeterminated position within the scope of designated position within a preset time
Then determine that there are abnormal behaviours by the personnel.
4. a kind of intelligent safety defense monitoring system based on motion analysis according to claim 2, which is characterized in that described dynamic
The unit that performs an analysis obtains personnel's facial characteristics, and it is living as personnel to obtain the personnel movable period in the range of designated position
The dynamic period, the motion analysis unit by personnel activity be stored in the period in described facial data library and with corresponding personnel's face
Data correlation.
5. a kind of intelligent safety defense monitoring system based on motion analysis according to claim 4, which is characterized in that described dynamic
The unit that performs an analysis obtains the facial characteristics of the personnel currently occurred and the facial characteristics in described facial data library with the presence or absence of weight
It is folded, if so, obtaining the inactivity period of the personnel;If current time and inactivity period there is no Chong Die, determine that the personnel deposit
In abnormal behaviour.
6. a kind of work side of intelligent safety defense monitoring system based on motion analysis according to claim 1-5
Method, which is characterized in that including following methods:
Monitoring device obtains personnel activity's image in the range of designated position;
Monitoring device exports personnel activity's image to motion analysis unit;
Motion analysis unit obtains personnel activity's image in specified range, and it is special to extract the face of the personnel in personnel activity's image
Sign and personnel activity's time;
Motion analysis unit determines the personnel with the presence or absence of abnormal behaviour the time according to personnel's facial characteristics and personnel activity;
Abnormal behaviour if it exists, then judgement result of the motion analysis unit to control processor output abnormality behavior;
After control processor receives the judgement result of abnormal behaviour, Xiang Yunduan monitoring center exports alarm signal;
In addition, motion analysis unit obtains the position for being determined the personnel there are abnormal behaviour, and exported to control processor;
Control processor exports personnel positions to cloud monitoring center.
7. a kind of working method of intelligent safety defense monitoring system based on motion analysis according to claim 6, is monitoring
After personnel activity's image in the range of device acquisition designated position, which is characterized in that including following methods:
Monitoring device obtains personnel activity's image in the range of designated position;
Motion analysis unit extracts the facial characteristics of the personnel in the range of designated position;
Personnel's facial characteristics of extraction is stored in facial database by motion analysis unit.
8. a kind of working method of intelligent safety defense monitoring system based on motion analysis according to claim 7, is acting
After analytical unit obtains personnel's facial characteristics, which is characterized in that including following methods:
Whether personnel's facial characteristics of extraction is retrieved to have in facial database and be overlapped by motion analysis unit
Face data;
If persistently obtaining the activity of the personnel without the face data overlapped in facial database;
Whether acquisition monitors the personnel close to predeterminated position within a preset time;
If so, determining the personnel, there are abnormal behaviours.
9. a kind of working method of intelligent safety defense monitoring system based on motion analysis according to claim 7, is acting
After analytical unit obtains personnel's facial characteristics, which is characterized in that including following methods:
Motion analysis unit obtains the initial time of appearance of personnel in the range of designated position;
Motion analysis unit obtains the personnel final time of appearance in the range of designated position;
Motion analysis unit obtains appearance period of personnel in the range of designated position as personnel activity's period, and by its
It is stored in facial database;
Personnel activity's period is associated with by facial database with personnel's face data.
10. a kind of working method of intelligent safety defense monitoring system based on motion analysis according to claim 9, is acting
After analytical unit obtains personnel's facial characteristics, which is characterized in that including following methods:
Whether personnel's facial characteristics of extraction is retrieved to have in facial database and be overlapped by motion analysis unit
Face data;
If there is the face data Chong Die with personnel's facial characteristics in facial database, when obtaining the activity of the current personnel
Section;
If currently the inactivity period with personnel's inactivity period in facial database of the personnel is not present Chong Die, the people is determined
There are abnormal behaviours by member.
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Cited By (1)
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CN112863101A (en) * | 2021-01-05 | 2021-05-28 | 华翔翔能科技股份有限公司 | Power distribution room environment and safety monitoring method and system |
Citations (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104050785A (en) * | 2014-06-30 | 2014-09-17 | 江苏摩华物联科技有限公司 | Safety alert method based on virtualized boundary and face recognition technology |
CN104463174A (en) * | 2014-12-16 | 2015-03-25 | 广州南方电力集团科技发展有限公司 | Multi-angle dynamic people recognition and behavior prediction system |
CN106033530A (en) * | 2015-03-11 | 2016-10-19 | 中兴通讯股份有限公司 | Identification method and apparatus for suspected person |
CN107346415A (en) * | 2017-06-08 | 2017-11-14 | 小草数语(北京)科技有限公司 | Method of video image processing, device and monitoring device |
CN107564237A (en) * | 2017-10-27 | 2018-01-09 | 华润电力技术研究院有限公司 | A kind of image detection warning system |
CN107766830A (en) * | 2017-10-27 | 2018-03-06 | 华润电力技术研究院有限公司 | A kind of image detection alarm method and relevant device |
CN108431876A (en) * | 2015-12-16 | 2018-08-21 | 日本电气株式会社 | Intrusion detection device, setting ancillary equipment, intrusion detection method, setting householder method and program recorded medium |
JP2018173855A (en) * | 2017-03-31 | 2018-11-08 | 日本電気株式会社 | Shoplifting prevention system and store side device and center side device used therefor |
CN108922114A (en) * | 2018-06-22 | 2018-11-30 | 张小勇 | Security monitor method and system |
CN109064698A (en) * | 2018-09-26 | 2018-12-21 | 中国联合网络通信集团有限公司 | Resident's security protection method for early warning and resident's security pre-warning system |
CN109190601A (en) * | 2018-10-19 | 2019-01-11 | 银河水滴科技(北京)有限公司 | Recongnition of objects method and device under a kind of monitoring scene |
CN109377304A (en) * | 2018-09-10 | 2019-02-22 | 上海小蚁科技有限公司 | Management method and system, readable storage medium storing program for executing are rented based on recognition of face |
-
2019
- 2019-03-18 CN CN201910201895.8A patent/CN110070687A/en active Pending
Patent Citations (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104050785A (en) * | 2014-06-30 | 2014-09-17 | 江苏摩华物联科技有限公司 | Safety alert method based on virtualized boundary and face recognition technology |
CN104463174A (en) * | 2014-12-16 | 2015-03-25 | 广州南方电力集团科技发展有限公司 | Multi-angle dynamic people recognition and behavior prediction system |
CN106033530A (en) * | 2015-03-11 | 2016-10-19 | 中兴通讯股份有限公司 | Identification method and apparatus for suspected person |
CN108431876A (en) * | 2015-12-16 | 2018-08-21 | 日本电气株式会社 | Intrusion detection device, setting ancillary equipment, intrusion detection method, setting householder method and program recorded medium |
JP2018173855A (en) * | 2017-03-31 | 2018-11-08 | 日本電気株式会社 | Shoplifting prevention system and store side device and center side device used therefor |
CN107346415A (en) * | 2017-06-08 | 2017-11-14 | 小草数语(北京)科技有限公司 | Method of video image processing, device and monitoring device |
CN107564237A (en) * | 2017-10-27 | 2018-01-09 | 华润电力技术研究院有限公司 | A kind of image detection warning system |
CN107766830A (en) * | 2017-10-27 | 2018-03-06 | 华润电力技术研究院有限公司 | A kind of image detection alarm method and relevant device |
CN108922114A (en) * | 2018-06-22 | 2018-11-30 | 张小勇 | Security monitor method and system |
CN109377304A (en) * | 2018-09-10 | 2019-02-22 | 上海小蚁科技有限公司 | Management method and system, readable storage medium storing program for executing are rented based on recognition of face |
CN109064698A (en) * | 2018-09-26 | 2018-12-21 | 中国联合网络通信集团有限公司 | Resident's security protection method for early warning and resident's security pre-warning system |
CN109190601A (en) * | 2018-10-19 | 2019-01-11 | 银河水滴科技(北京)有限公司 | Recongnition of objects method and device under a kind of monitoring scene |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112863101A (en) * | 2021-01-05 | 2021-05-28 | 华翔翔能科技股份有限公司 | Power distribution room environment and safety monitoring method and system |
CN112863101B (en) * | 2021-01-05 | 2022-11-29 | 华翔翔能科技股份有限公司 | Power distribution room environment and safety monitoring method and system |
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