CN201718000U - Intelligent dynamic field video monitoring system - Google Patents
Intelligent dynamic field video monitoring system Download PDFInfo
- Publication number
- CN201718000U CN201718000U CN2010202621193U CN201020262119U CN201718000U CN 201718000 U CN201718000 U CN 201718000U CN 2010202621193 U CN2010202621193 U CN 2010202621193U CN 201020262119 U CN201020262119 U CN 201020262119U CN 201718000 U CN201718000 U CN 201718000U
- Authority
- CN
- China
- Prior art keywords
- module
- video
- target
- monitoring system
- data model
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Expired - Fee Related
Links
Landscapes
- Closed-Circuit Television Systems (AREA)
- Alarm Systems (AREA)
Abstract
The utility model discloses an intelligent dynamic field video monitoring system, which comprises a video administration module, a target detection module, a target-tracking module and a behavior analyzing module, wherein the video administration module is used for collecting video information in real time and detecting video information for pretreatment and preservation, the target detection module is used for separating moving targets from video information background preserved in the video administration module and synchronously recording the position information and the motion feature of the moving target, the target-tracking module is used for combining and matching the position information and the motion feature of the moving target separated by the target detection module in chronological order and obtaining the motion trail of the moving target, and the behavior analyzing module is used for analyzing the motion trail and correspondingly judging whether abnormal behavior exists or not according to the analysis results. The utility model has the advantages of reasonable design, low input cost, simple and convenient operation and use, high intelligent degree and good using effect, and can effectively solve the problems of the present video monitoring system, such as incapability of giving an alarm at the very first time, low monitoring efficiency, serious waste of manual labor and material resources, high false dismissal probability and the like.
Description
Technical field
The utility model belongs to technical field of video monitoring, especially relates to a kind of intelligent dynamic field video monitoring system.
Background technology
In the last few years, video monitoring system had obtained extensive use in every profession and trade, and for example the set sales counter of the employed supervisory control system violating the regulations in safety monitoring system, traffic aspect, the banking system that supermarket and sub-district etc. are installed in the daily life is monitored or the like.Yet existing video monitoring system is just carried out motion target detection or tracking in the scene mostly, and to detect or follow the tracks of institute's acquired information further discern with behavior understanding etc. seldom, though people constantly set up increasing video monitoring system, but these supervisory control systems also almost are provided by a kind of the provide instrument of evidence obtaining video recording afterwards, the opportunity of usually missing the very first time " warning " in the actual use and in time incident being handled.In addition, because the purpose of monitoring is exactly that the anomalous event in the supervision scene or the abnormal behaviour of monitored object are detected, analyze, thereby when guarded region is very responsive to safety, need personnel's continuous monitoring screen, along with the expansion of guarded region and the growth of time, be easy to cause visual fatigue during staff's monitored for prolonged periods of time screen, thereby may cause " false dismissal ".So traditional video monitoring system is not only wasted lot of manpower and material resources, and monitoring effect does not reach the requirement of expectation.Nowadays, along with the propelling of China's IT application process and improving constantly of people's living standard, everybody is more and more higher to the intelligent requirements of video monitoring system, and the research of intelligent dynamic field video monitoring system and application obtain people's attention day by day.
The utility model content
Technical problem to be solved in the utility model is at above-mentioned deficiency of the prior art, a kind of intelligent dynamic field video monitoring system is provided, it is reasonable in design, input cost is low, use is easy and simple to handle, intelligent degree height and result of use is good, popularizing application prospect is extensive, can effectively solve the existing existing multiple practical problem of video monitoring system.
For solving the problems of the technologies described above, the technical solution adopted in the utility model is: a kind of intelligent dynamic field video monitoring system, it is characterized in that: comprise real-time collection video information and the video management module that the collection video information is carried out preliminary treatment and preserved synchronously, the module of target detection of from the video management module, isolating moving target in the background of the video information of preserving automatically and the positional information and the motion feature of described moving target being carried out synchronous recording, the positional information of moving target that module of target detection is isolated and motion feature are carried out the target tracking module of combinations matches and the described moving target movement locus of corresponding acquisition and described movement locus is analyzed and judged the behavioural analysis module whether described moving target exists abnormal behaviour according to analysis result is corresponding according to the time order and function order, described video management module and module of target detection are joined, described module of target detection and target tracking module are joined, and described target tracking module and behavioural analysis module are joined.
Above-mentioned intelligent dynamic field video monitoring system, it is characterized in that: described video management module comprises video acquisition module, the video preprocessor processing module of joining with described video acquisition module, to carry out the video information memory module of stores synchronized through video preprocessor processing module processed video information and to the video information memory module in all video informations of the same moving target stored be the video integrate module of a video sequence according to the time order and function sequence integration, video acquisition module and video preprocessor processing module are joined, described video preprocessor processing module and video integrate module all with the video information memory module; Described video information memory module and module of target detection are joined.
Above-mentioned intelligent dynamic field video monitoring system is characterized in that: the quantity of described video acquisition module is a plurality of.
Above-mentioned intelligent dynamic field video monitoring system is characterized in that: described video acquisition module is a camera.
Above-mentioned intelligent dynamic field video monitoring system, it is characterized in that: described behavioural analysis module comprises that parameter is provided with module, according to parameter the sports rule model generation module that module institute input parameter information generates corresponding standard movement regular data model automatically and carries out stores synchronized is set, be used for that storing moving rule model generation module generates the data model memory module of standard movement regular data model and the standard movement regular data model of being stored in movement locus that target tracking module obtained and the data model memory module is analyzed and correspondingly judges the behavior contrast module whether described moving target exists abnormal behaviour, module is set described parameter and sports rule model generation module joins, described sports rule model generation module and data model memory module are joined, and described behavior contrast module is joined with target tracking module and data model memory module respectively.
Above-mentioned intelligent dynamic field video monitoring system, it is characterized in that: described video integrate module, module of target detection, target tracking module, sports rule model generation module and the shared arithmetic processor of behavior contrast module, the shared memory of described video information memory module and data model memory module, it is operation keyboard that described parameter is provided with module, and described memory and described operation keyboard all join with described arithmetic processor.
Above-mentioned intelligent dynamic field video monitoring system is characterized in that: also comprise the alarm unit that joins with described behavior contrast module.
The utility model compared with prior art has the following advantages:
1, reasonable in design, input cost is low and it is easy and simple to handle to use, result of use is good, intelligent degree height.
2, can effectively improve the accuracy of warning, the utility model can utilize " Intellectual Analysis Technology " extract bulk properties from the image frame of numerous and complicated, feature, correctly identify different objects and movement locus rule thereof, it can distinguish people's car or other object clearly, and filter out similar ripples, morning and evening tides, leaf, natural disturbance and light variable effects such as shadow, the occasion that can't realize and use under the motion detection mode in the past (as detecting on the water surface whether passing ship etc. is arranged) particularly, in case " common-denominator target " is when occurring in the discovery monitored picture, system can be with the fastest, best mode provides useful information or alarm, therefore, the information that native system sends must be the warning message of effective or real breach of security rule, these information also must be in time to obtain the real information handled, it will improve the accuracy of warning effectively, expand the range of application of video alarm simultaneously.
3; the automaticity height; low and the monitoring usefulness height of labour intensity; can effectively avoid " false dismissal " phenomenon; the safety and effectiveness and the practical operation managerial ability of supervisory control system have been improved greatly; and it has remarkable reduction rate of false alarm; assist the Security Officer to prevent and handle critical incident more effectively; effectively contain characteristics such as all kinds of crimes; can make the user more accurately define the feature of security threat; can in the image monitoring scope, set a plurality of virtual warning lines or warning region; can set at times; analyze different important object, really accomplish only to violate the efficient monitoring that the regular behavior of warning just produces warning.Simultaneously, will speed up the speed of digital video replacement analog video, further improved monitoring usefulness, the pattern of traditional (in central control room) centralized monitor also will progressively redirect to the distributed monitoring pattern, the security personnel will free from uninteresting ground screen viewing, no longer defend tenaciously in traditional Control Room, and throw oneself into more close supervision and take action on-the-spot place, and pass on the positional information of suspicious object automatically to the security personnel by system, more promptly handle field condition, satisfy permanent the supervision and the demand of " anti-terrorism " quick reflection, can predict, intelligent monitoring system will incorporate all kinds of safety control systems rapidly and play a significant role.
4, the pre-alerting ability that has prophet, person with foresight, the utility model can make Security Officer's sensed in advance abnormal behaviour and pay close attention to corresponding monitoring field, find potential threat as far as possible in advance and make countermeasure.
5, effectively expanded the video resource purposes, the intelligent video analysis result who the is used for safety-protection system high speed ball-shaped camera that can also be used to linking is carried out track up, when suspicious object is touched a plurality of intelligent video analysis zone of a plurality of video cameras, system can drive the high speed ball-shaped camera suspicious object will be followed the trail of continuously, when running into a plurality of suspicious object and occur jointly, also can catch its live image separately respectively, make supervisory control system have more intelligent advantage.No matter be traditional video surveillance system or network video monitor and control system, the video pictures that it monitored generally only is applied in the security monitoring field, and in the utility model, these image resources can also have more purposes.For example: the personnel amount that occurs in the video pictures is added up, for " volume of the flow of passengers " provides reference data; Detect the situation of vehicle, be magnitude of traffic flow statistics in travels down; To drive against traffic regulations, parking offense, road accident carry out active and differentiate, provide prompting; Automatically discern VI P user in the market, the prompting customer service personnel initiatively go forward to offer high-quality service or the like.
6, practical value height and application prospect are extensive, not only can finish safing task efficiently, can also save lot of manpower and material resources, thereby bring very big economic well-being of workers and staff to society, it still all has great application prospect in the military field civilian.
In sum, the utility model is reasonable in design, input cost is low, use is easy and simple to handle, intelligent degree height and result of use is good, popularizing application prospect is extensive, can effectively solve existing video monitoring system and existingly can not report to the police, monitor that usefulness is low, the human and material resources waste is serious in the very first time, be prone to multiple practical problem such as false dismissal phenomenon.
Below by drawings and Examples, the technical solution of the utility model is described in further detail.
Description of drawings
Fig. 1 is a schematic block circuit diagram of the present utility model.
Description of reference numerals:
1-video management module; The 1-1-video acquisition module; 1-2-video preprocessor processing module;
1-3-video integrate module; 1-4-video information storage mould 2-module of target detection;
Piece;
The 3-target tracking module; 4-behavioural analysis module; The 4-1-parameter is provided with module;
4-2-sports rule model is given birth to 4-3-data model storage mould 4-4-behavior contrast module;
Become module; Piece;
The 5-alarm unit.
Embodiment
As shown in Figure 1, the utility model comprises real-time collection video information and the video management module 1 that the collection video information is carried out preliminary treatment and preserved synchronously, the module of target detection 2 of from video management module 1, isolating moving target in the background of the video information of preserving automatically and the positional information and the motion feature of described moving target being carried out synchronous recording, the positional information of module of target detection 2 moving target of isolating and motion feature are carried out the target tracking module 3 of combinations matches and the described moving target movement locus of corresponding acquisition and described movement locus is analyzed and judged the behavioural analysis module 4 whether described moving target exists abnormal behaviour according to analysis result is corresponding according to the time order and function order, described video management module 1 is joined with module of target detection 2, described module of target detection 2 is joined with target tracking module 3, and described target tracking module 3 is joined with behavioural analysis module 4.
In the present embodiment, described video management module 1 comprises video acquisition module 1-1, the video preprocessor processing module 1-2 that joins with described video acquisition module 1-1, to carry out the video information memory module 1-4 of stores synchronized through video preprocessor processing module 1-2 processed video information and to video information memory module 1-4 in all video informations of the same moving target stored be the video integrate module 1-3 of a video sequence according to the time order and function sequence integration, video acquisition module 1-1 and video preprocessor processing module 1-2 join, described video preprocessor processing module 1-2 and video integrate module 1-3 all with video information memory module 1-4.Described video information memory module 1-4 and module of target detection 2 are joined.
The quantity of described video acquisition module 1-1 is a plurality of, and described video acquisition module 1-1 is a camera.
Described behavioural analysis module 4 comprises that parameter is provided with module 4-1, according to parameter the sports rule model generation module 4-2 that module 4-1 institute input parameter information generates corresponding standard movement regular data model automatically and carries out stores synchronized is set, be used for that storing moving rule model generation module 4-2 generates that the standard movement regular data model of being stored in the data model memory module 4-3 of standard movement regular data model and movement locus that target tracking module 3 is obtained and the data model memory module 4-3 is analyzed and correspondingly judge the behavior contrast module 4-4 whether described moving target exists abnormal behaviour, module 4-1 is set described parameter and sports rule model generation module 4-2 joins, described sports rule model generation module 4-2 and data model memory module 4-3 join, and described behavior contrast module 4-4 joins with target tracking module 3 and data model memory module 4-3 respectively.Simultaneously, the utility model also comprises the alarm unit 5 that joins with described behavior contrast module 4-4.
In the present embodiment, described video integrate module 1-3, module of target detection 2, target tracking module 3, sports rule model generation module 4-2 and the shared arithmetic processor of behavior contrast module 4-4, the shared memory of described video information memory module 1-4 and data model memory module 4-3, it is operation keyboard that described parameter is provided with module 4-1, and described memory and described operation keyboard all join with described arithmetic processor.
In sum, in the practical work process, described video management module 1 is mainly used in finishes obtaining and hold function of video; Module of target detection 2 is exactly in image sequence the target of moving to be extracted from background; Target tracking module 3 is exactly for the moving object in the image sequence (being described moving target), by extracting its some feature, and these features is got up to another width of cloth images match from piece image, and finally obtains the movement locus of moving object; Behavioural analysis module 4 is by Characteristic Extraction and standard movement regular data model with moving target being complementary, realizing the behavior identification of moving target.
The above; it only is preferred embodiment of the present utility model; be not that the utility model is imposed any restrictions; everyly any simple modification that above embodiment did, change and equivalent structure are changed, all still belong in the protection range of technical solutions of the utility model according to the utility model technical spirit.
Claims (7)
1. intelligent dynamic field video monitoring system, it is characterized in that: comprise real-time collection video information and the video management module (1) that the collection video information is carried out preliminary treatment and preserved synchronously, the module of target detection (2) of from video management module (1), isolating moving target in the background of the video information of preserving automatically and the positional information and the motion feature of described moving target being carried out synchronous recording, the positional information of module of target detection (2) moving target of isolating and motion feature are carried out the target tracking module (3) of combinations matches and the described moving target movement locus of corresponding acquisition and described movement locus is analyzed and judged the behavioural analysis module (4) whether described moving target exists abnormal behaviour according to analysis result is corresponding according to the time order and function order, described video management module (1) is joined with module of target detection (2), described module of target detection (2) is joined with target tracking module (3), and described target tracking module (3) is joined with behavioural analysis module (4).
2. according to the described intelligent dynamic field video monitoring system of claim 1, it is characterized in that: described video management module (1) comprises video acquisition module (1-1), the video preprocessor processing module (1-2) of joining with described video acquisition module (1-1), to carry out the video information memory module (1-4) of stores synchronized through video preprocessor processing module (1-2) processed video information and to video information memory module (1-4) in all video informations of the same moving target stored be the video integrate module (1-3) of a video sequence according to the time order and function sequence integration, video acquisition module (1-1) and video preprocessor processing module (1-2) are joined, described video preprocessor processing module (1-2) and video integrate module (1-3) all with video information memory module (1-4); Described video information memory module (1-4) is joined with module of target detection (2).
3. according to the described intelligent dynamic field video monitoring system of claim 2, it is characterized in that: the quantity of described video acquisition module (1-1) is a plurality of.
4. according to claim 2 or 3 described intelligent dynamic field video monitoring systems, it is characterized in that: described video acquisition module (1-1) is camera.
5. according to claim 2 or 3 described intelligent dynamic field video monitoring systems, it is characterized in that: described behavioural analysis module (4) comprises that parameter is provided with module (4-1), according to parameter the sports rule model generation module (4-2) that module (4-1) institute input parameter information generates corresponding standard movement regular data model automatically and carries out stores synchronized is set, be used for the data model memory module (4-3) of storing moving rule model generation module (4-2) the standard movement regular data model that generates and movement locus and the interior standard movement regular data model of being stored of data model memory module (4-3) that target tracking module (3) is obtained are analyzed the also corresponding behavior contrast module (4-4) whether described moving target exists abnormal behaviour of judging, described parameter is provided with module (4-1) and joins with sports rule model generation module (4-2), described sports rule model generation module (4-2) joins with data model memory module (4-3), and described behavior contrast module (4-4) is joined with target tracking module (3) and data model memory module (4-3) respectively.
6. according to the described intelligent dynamic field video monitoring system of claim 5, it is characterized in that: described video integrate module (1-3), module of target detection (2), target tracking module (3), sports rule model generation module (4-2) and the shared arithmetic processor of behavior contrast module (4-4), the shared memory of described video information memory module (1-4) and data model memory module (4-3), described parameter is provided with module (4-1) for operation keyboard, and described memory and described operation keyboard all join with described arithmetic processor.
7. according to the described intelligent dynamic field video monitoring system of claim 5, it is characterized in that: also comprise the alarm unit (5) that joins with described behavior contrast module (4-4).
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2010202621193U CN201718000U (en) | 2010-07-16 | 2010-07-16 | Intelligent dynamic field video monitoring system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2010202621193U CN201718000U (en) | 2010-07-16 | 2010-07-16 | Intelligent dynamic field video monitoring system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN201718000U true CN201718000U (en) | 2011-01-19 |
Family
ID=43464009
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2010202621193U Expired - Fee Related CN201718000U (en) | 2010-07-16 | 2010-07-16 | Intelligent dynamic field video monitoring system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN201718000U (en) |
Cited By (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103530995A (en) * | 2013-10-12 | 2014-01-22 | 重庆邮电大学 | Video monitoring intelligent early-warning system and method on basis of target space relation constraint |
| CN103942811A (en) * | 2013-01-21 | 2014-07-23 | 中国电信股份有限公司 | Method and system for determining motion trajectory of characteristic object in distributed and parallel mode |
| CN104284145A (en) * | 2013-07-11 | 2015-01-14 | 松下电器产业株式会社 | Tracking assistance device, a tracking assistance system and a tracking assistance method |
| CN104284147A (en) * | 2013-07-11 | 2015-01-14 | 松下电器产业株式会社 | Tracking assistance device, a tracking assistance system and a tracking assistance method |
| CN104516295A (en) * | 2014-12-15 | 2015-04-15 | 成都凌感科技有限公司 | Device for automatically recognizing human body malignant violent terrorism actions and emitting violence preventing substances |
| CN104519322A (en) * | 2014-12-24 | 2015-04-15 | 安徽科鸣三维科技有限公司 | Machine vision target tracking system |
| CN105706446A (en) * | 2016-01-31 | 2016-06-22 | 深圳市博信诺达经贸咨询有限公司 | Monitoring warning method and system for big data |
| CN105741467A (en) * | 2016-04-25 | 2016-07-06 | 美的集团股份有限公司 | Safety monitoring robot and robot safety monitoring method |
| CN105989610A (en) * | 2015-01-29 | 2016-10-05 | 中兴通讯股份有限公司 | Target tracking method and device |
| CN106022306A (en) * | 2016-06-08 | 2016-10-12 | 惠州学院 | Video system for identifying abnormal behaviors of object based on multiple angles |
| CN106096590A (en) * | 2016-07-16 | 2016-11-09 | 惠州学院 | A kind of multi-mode behavior tracking identification system and method |
| CN106934970A (en) * | 2017-03-30 | 2017-07-07 | 安徽森度科技有限公司 | A kind of public place abnormal behaviour early warning system |
| CN106950973A (en) * | 2017-05-19 | 2017-07-14 | 苏州寅初信息科技有限公司 | A kind of Intelligent road patrol method and its system based on teaching robot |
| WO2018032449A1 (en) * | 2016-08-17 | 2018-02-22 | 武克易 | Scene identification method for intelligent interaction handle terminal |
| CN109886236A (en) * | 2019-03-01 | 2019-06-14 | 苏州星奥达科技有限公司 | A kind of video analysis method based on magnanimity crowd behaviour |
| CN113835457A (en) * | 2021-08-10 | 2021-12-24 | 太原市高远时代科技有限公司 | Water conservancy integration intelligence rack based on edge calculation |
-
2010
- 2010-07-16 CN CN2010202621193U patent/CN201718000U/en not_active Expired - Fee Related
Cited By (22)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103942811B (en) * | 2013-01-21 | 2017-08-15 | 中国电信股份有限公司 | Distributed parallel determines the method and system of characteristic target movement locus |
| CN103942811A (en) * | 2013-01-21 | 2014-07-23 | 中国电信股份有限公司 | Method and system for determining motion trajectory of characteristic object in distributed and parallel mode |
| CN104284145A (en) * | 2013-07-11 | 2015-01-14 | 松下电器产业株式会社 | Tracking assistance device, a tracking assistance system and a tracking assistance method |
| CN104284147A (en) * | 2013-07-11 | 2015-01-14 | 松下电器产业株式会社 | Tracking assistance device, a tracking assistance system and a tracking assistance method |
| CN104284145B (en) * | 2013-07-11 | 2017-09-26 | 松下电器产业株式会社 | Track servicing unit, tracking accessory system and tracking householder method |
| CN103530995A (en) * | 2013-10-12 | 2014-01-22 | 重庆邮电大学 | Video monitoring intelligent early-warning system and method on basis of target space relation constraint |
| CN103530995B (en) * | 2013-10-12 | 2016-04-06 | 重庆邮电大学 | The video monitoring intelligent early-warning method of based target spatial relation constraint |
| CN104516295A (en) * | 2014-12-15 | 2015-04-15 | 成都凌感科技有限公司 | Device for automatically recognizing human body malignant violent terrorism actions and emitting violence preventing substances |
| CN104519322A (en) * | 2014-12-24 | 2015-04-15 | 安徽科鸣三维科技有限公司 | Machine vision target tracking system |
| CN104519322B (en) * | 2014-12-24 | 2017-08-18 | 芜湖林一电子科技有限公司 | A kind of machine vision Target Tracking System |
| CN105989610A (en) * | 2015-01-29 | 2016-10-05 | 中兴通讯股份有限公司 | Target tracking method and device |
| CN105706446A (en) * | 2016-01-31 | 2016-06-22 | 深圳市博信诺达经贸咨询有限公司 | Monitoring warning method and system for big data |
| WO2017128440A1 (en) * | 2016-01-31 | 2017-08-03 | 深圳市博信诺达经贸咨询有限公司 | Method and system for big data monitoring and reminding |
| CN105741467B (en) * | 2016-04-25 | 2018-08-03 | 美的集团股份有限公司 | A kind of security monitoring robot and robot security's monitoring method |
| CN105741467A (en) * | 2016-04-25 | 2016-07-06 | 美的集团股份有限公司 | Safety monitoring robot and robot safety monitoring method |
| CN106022306A (en) * | 2016-06-08 | 2016-10-12 | 惠州学院 | Video system for identifying abnormal behaviors of object based on multiple angles |
| CN106096590A (en) * | 2016-07-16 | 2016-11-09 | 惠州学院 | A kind of multi-mode behavior tracking identification system and method |
| WO2018032449A1 (en) * | 2016-08-17 | 2018-02-22 | 武克易 | Scene identification method for intelligent interaction handle terminal |
| CN106934970A (en) * | 2017-03-30 | 2017-07-07 | 安徽森度科技有限公司 | A kind of public place abnormal behaviour early warning system |
| CN106950973A (en) * | 2017-05-19 | 2017-07-14 | 苏州寅初信息科技有限公司 | A kind of Intelligent road patrol method and its system based on teaching robot |
| CN109886236A (en) * | 2019-03-01 | 2019-06-14 | 苏州星奥达科技有限公司 | A kind of video analysis method based on magnanimity crowd behaviour |
| CN113835457A (en) * | 2021-08-10 | 2021-12-24 | 太原市高远时代科技有限公司 | Water conservancy integration intelligence rack based on edge calculation |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN201718000U (en) | Intelligent dynamic field video monitoring system | |
| CN102811343B (en) | Intelligent video monitoring system based on behavior recognition | |
| CN102665071B (en) | Intelligent processing and search method for social security video monitoring images | |
| CN104021570B (en) | Directive in a kind of video cross the border and mix line detecting method | |
| CN101123721A (en) | An intelligent video monitoring system and its monitoring method | |
| CN102968802A (en) | Moving target analyzing and tracking method and system based on video monitoring | |
| CN106856577B (en) | Video abstract generation method capable of solving multi-target collision and shielding problems | |
| CN104581081B (en) | Passenger flow analysing method based on video information | |
| CN105631427A (en) | Suspicious personnel detection method and system | |
| CN102164270A (en) | Intelligent video monitoring method and system capable of exploring abnormal events | |
| CN104318217A (en) | Face recognition information analysis method and system based on distributed cloud computing | |
| CN101727672A (en) | Method for detecting, tracking and identifying object abandoning/stealing event | |
| CN201114536Y (en) | A video monitoring system | |
| CN105426820A (en) | Multi-person abnormal behavior detection method based on security monitoring video data | |
| CN105844659A (en) | Moving part tracking method and device | |
| CN203327163U (en) | Monitoring system | |
| CN103150736A (en) | Camera motion detecting method based on video monitoring | |
| CN104469299A (en) | Network camera shooting device | |
| CN104881643A (en) | Method and system for rapidly detecting remains | |
| CN105657372A (en) | Method and system for realizing intelligent detection and early warning of on-duty guard posts by videos | |
| CN210666820U (en) | Pedestrian abnormal behavior detection system based on DSP edge calculation | |
| CN109299700A (en) | Subway group abnormality behavioral value method based on crowd density analysis | |
| CN202120402U (en) | Mass video analysis based on cloud computing and rapid retrieval system | |
| CN103605956A (en) | Emergency intelligence identification system based on video abstraction | |
| CN110677619A (en) | Intelligent monitoring video processing method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| C17 | Cessation of patent right | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20110119 Termination date: 20130716 |