CN104320623B - A kind of method that intelligent monitor system recording exceptional target moves route - Google Patents
A kind of method that intelligent monitor system recording exceptional target moves route Download PDFInfo
- Publication number
- CN104320623B CN104320623B CN201410604465.8A CN201410604465A CN104320623B CN 104320623 B CN104320623 B CN 104320623B CN 201410604465 A CN201410604465 A CN 201410604465A CN 104320623 B CN104320623 B CN 104320623B
- Authority
- CN
- China
- Prior art keywords
- abnormal object
- monitor area
- target
- monitor
- calculation process
- 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.)
- Active
Links
Abstract
The invention provides a kind of method that intelligent monitor system recording exceptional target moves route, complete mobile route of this method usage log file record abnormal object in monitor area.On the one hand substantial amounts of server storage can be saved, it is not necessary to preserve substantial amounts of video information.After another aspect anomalous event occurs, it can quickly and accurately search, position mobile route of the abnormal object in monitor area.By checking that journal file just will be seen that the complete mobile route of abnormal object, it is not necessary to check substantial amounts of video to search, position abnormal object.
Description
Technical field
The present invention relates to intelligent monitoring technology field, more particularly to a kind of intelligent monitor system recording exceptional target movement road
The method of line.
Background technology
The subject matter that existing monitoring system is present is：
1st, after anomalous event occurs, the speed too slow, workload for searching abnormal object is too big.After anomalous event occurs,
The method of traditional lookup abnormal object is to look at the monitor video of all supervising devices.The method of this checking monitoring video
Subject matter is that blindness is very big.It is which supervising device photographs abnormal object at what time due to not can determine that, therefore
All videos taken by all supervising devices can only be checked, it is necessary to using substantial amounts of manpower, time cost.
2nd, all supervising device function opposite independents in monitoring system, do not combine organically.Traditional monitoring
All supervising device positions in system are scattered, functional independence, main effect be shoot incessantly region video,
Audio-frequency information.But after anomalous event occurs, it is impossible to play a part of active for the lookup of abnormal object, positioning, can only rely on
It is artificial to check the positioning that video carries out abnormal object.
The content of the invention
To solve the above problems, the invention provides the side that a kind of intelligent monitor system recording exceptional target moves route
Method, the system includes calculation process server, some monitoring cameras being connected with calculation process server communication and data
Server, the data server is provided with for storing abnormal object memory block, and methods described comprises the following steps：
Step one：Monitoring camera shoots the image in its monitor area, the target person or thing that will enter in monitor area
Image transmitting to computational service processor, computational service processor judges whether the target into monitor area is abnormal mesh
Mark；
Step 2：If the target that calculation process server judges to enter monitor area is abnormal object, by abnormal mesh
Target image information is stored in the abnormal object memory block of data server, and sets up a journal file for recording exceptional mesh
It is marked on the complete mobile route in monitor area；
Step 3：Update log file, with complete mobile route of the recording exceptional target in monitor area.
Further, in step one, calculation process server comparison object and the sample image in Sample Storehouse, if target
It is not the sample image in Sample Storehouse, then the target for judging to enter monitor area is abnormal object.
Further, in step 2, calculation process server carries out Unified coding to the image information of abnormal object.
Further, the journal file is encoded to title with abnormal object.
Further, the main information of journal file described in step 2 includes abnormal object coding, abnormal object entrance
Monitor area coding, into residence time in monitor area of time, abnormal object of monitor area, abnormal object from
Open the time of monitor area.
Further, in step 3, calculation process server is according to residing for the supervising device for sending abnormal object image
Monitor area change come update recording exceptional target move route journal file.
Further, the method for calculation process server update journal file is：Assuming that there is N number of monitoring dress in monitoring system
Put, the numbering of supervising device is respectively N1, N2 ... Nn, and N number of supervising device is located at M small monitored spaces in monitor area respectively
Domain, the numbering of monitor area is respectively M1, M2 ... Mm, and one of them small monitor area has been possible to multiple supervising devices, often
Individual supervising device only corresponds to a small monitor area；
Calculation process server is received after the image information of a new abnormal object, and to this, new abnormal object enters
Row Unified coding, and set up a journal file that title is encoded to abnormal object.Assuming that sending new abnormal object figure
As the numbering of the supervising device of information is Ni1, then calculation process server can execution journal file write operation, the content bag write
Include abnormal object coding, the coding for the monitor area that abnormal object enters, the time into monitor area；
After another supervising device Ni2 sends the image information of same abnormal object to calculation process server, fortune
Processing server Update log file again is calculated, the content write includes：Residence time of the abnormal object in last monitor area,
Abnormal object leaves the time of last monitor area, abnormal object and enters time of next monitor area, abnormal object and enter
The coding of next monitor area.
Advantages of the present invention is：
First, complete mobile route of the usage log file record abnormal object in monitor area.On the one hand it can save
Substantial amounts of server storage, it is not necessary to preserve substantial amounts of video information., can be fast after another aspect anomalous event occurs
The mobile route of speed, exactly lookup, positioning abnormal object in monitor area.By checking that it is different that journal file just will be seen that
The complete mobile route of normal target, it is not necessary to check substantial amounts of video to search, position abnormal object.
2nd, lookup after anomalous event occurs, the time of positioning abnormal object, human cost are greatly reduced.Anomalous event
After generation, traditional monitoring system needs to check all monitor videos of all supervising devices, and this method only needs to check
Journal file can just be completed.
3rd, all supervising devices in monitoring system are organically combined.Can be all by journal file
Supervising device organically combines, by checking that a journal file just will be seen that the behavior of all supervising devices.
Brief description of the drawings
Fig. 1 is the step flow chart of the method for the invention.
Fig. 2 is the step flow chart of daily record renewal in the method for the invention.
Embodiment
This method comprises the following steps：
The first step：By comparing, it is determined that whether the target into monitor area is abnormal object.Supervising device has been photographed
Target (including people and thing) enters after monitor area, and the target image photographed is sent at calculation process server, computing
Server comparison object image and the sample image in Sample Storehouse are managed, if target is not the sample image in Sample Storehouse, table
It is shown with abnormal object entrance.
Second step：If calculation process server judges there is abnormal object entrance, the image information of abnormal object is deposited
Storage carries out Unified coding in the abnormal object memory block of data server, and to image information, then sets up a daily record text
Part is used for the complete mobile route that recording exceptional target enters monitor area.The main information of journal file has abnormal object volume
The coding for the monitor area that code, abnormal object enter, the stop in monitor area of time, abnormal object into monitor area
Time, abnormal object leave time of monitor area etc..
3rd step：Pass through complete mobile route of the journal file recording exceptional target in monitor area.Calculation process takes
Business device updates the movement of recording exceptional target according to the change of the monitor area residing for the supervising device for sending abnormal object image
The journal file of route.The algorithm of calculation process server update journal file is as follows：
Assuming that there is N number of supervising device in monitoring system, the numbering of supervising device is respectively N1, N2 ... Nn, N number of monitoring dress
M small monitor areas being located at respectively in monitor area are put, the numbering of monitor area is respectively M1, M2 ... Mm, one of them
Small monitor area has been possible to multiple supervising devices, and each supervising device only corresponds to a small monitor area.Calculation process is serviced
Device is received after the image information of a new abnormal object, carries out Unified coding to this new abnormal object, and set up
One title is encoded to abnormal object journal file.Assuming that sending the volume of the supervising device of new abnormal object image information
Number be Ni1, then calculation process server can execution journal file write operation, content is：Abnormal object encodes XX XX months XX
Day XX seconds XX minutes entrance monitor area Mj1 of XX points.When another supervising device Ni2 is same to the transmission of calculation process server
After the image information of individual abnormal object, calculation process server Update log file again, content is：Abnormal object encodes XX
It is XX minutes XX hours XX seconds (residence times that year XX month XX day XX points, which leave the monitor area Mj1 residence times for XX seconds XX minutes,
Equal to entry time and the difference of time departure).Continue input content after line feed：Abnormal object encodes XX XX months XX day XX
Point enters monitor area Mj2 in XX seconds XX minutes.It is complete in monitor area that this method can record multiple abnormal objects simultaneously
Whole mobile route.
Advantages of the present invention is：
First, complete mobile route of the usage log file record abnormal object in monitor area.On the one hand it can save
Substantial amounts of server storage, it is not necessary to preserve substantial amounts of video information., can be fast after another aspect anomalous event occurs
The mobile route of speed, exactly lookup, positioning abnormal object in monitor area.By checking that it is different that journal file just will be seen that
The complete mobile route of normal target, it is not necessary to check substantial amounts of video to search, position abnormal object.
2nd, lookup after anomalous event occurs, the time of positioning abnormal object, human cost are greatly reduced.Anomalous event
After generation, traditional monitoring system needs to check all monitor videos of all supervising devices, and this method only needs to check
Journal file can just be completed.
3rd, all supervising devices in monitoring system are organically combined.Can be all by journal file
Supervising device organically combines, by checking that a journal file just will be seen that the behavior of all supervising devices.
Claims (4)
1. a kind of method that intelligent monitor system recording exceptional target moves route, it is characterised in that the system includes computing
Processing server, some monitoring cameras and data server being connected with calculation process server communication, the data, services
Device is provided with the memory block for storing abnormal object, and methods described comprises the following steps：
Step one：Monitoring camera shoots the image in its monitor area, will enter the target person in monitor area or the figure of thing
As transmitting to computational service processor, whether the target that computational service processor judges to enter monitor area is abnormal object；
Step 2：If the target that calculation process server judges to enter monitor area is abnormal object, by abnormal object
Image information is stored in the abnormal object memory block of data server, and sets up a journal file and exist for recording exceptional target
Complete mobile route in monitor area；
Step 3：Update log file, with complete mobile route of the recording exceptional target in monitor area；
Wherein, in step 2, calculation process server carries out Unified coding to the image information of abnormal object；
In step 3, change of the calculation process server according to the monitor area residing for the supervising device for sending abnormal object image
To update the journal file that recording exceptional target moves route；
The method of calculation process server update journal file is：It is that N1, N2 ... Nn, N are prison that supervising device is numbered respectively
Device total number is controlled, N number of supervising device is located at M small monitor areas in monitor area, the numbering difference of monitor area respectively
For M1, M2 ... Mm, one of them small monitor area has been possible to multiple supervising devices, and each supervising device only corresponds to one small
Monitor area；
Calculation process server is received after the image information of a new abnormal object, and to this, new abnormal object is united
One coding, and set up a journal file that title is encoded to abnormal object；New abnormal object image information will be sent
The numbering of supervising device be set to Ni1, then calculation process server can execution journal file write operation, the content write includes
The coding for the monitor area that abnormal object coding, abnormal object enter, the time into monitor area；
After another supervising device Ni2 sends the image information of same abnormal object to calculation process server, at computing
Server Update log file again is managed, the content write includes：Residence time of the abnormal object in last monitor area, exception
It is next that target leaves that the time of last monitor area, abnormal object enter time of next monitor area, abnormal object enters
The coding of monitor area.
2. the method that intelligent monitor system recording exceptional target as claimed in claim 1 moves route, it is characterised in that step
In one, computational service processor comparison object and the sample image in Sample Storehouse, if target is not the sample graph in Sample Storehouse
Picture, then the target for judging to enter monitor area is abnormal object.
3. the method that intelligent monitor system recording exceptional target as claimed in claim 2 moves route, it is characterised in that described
Journal file is encoded to title with abnormal object.
4. the method that the intelligent monitor system recording exceptional target as described in claim 1 or 3 moves route, it is characterised in that
The coding for the monitor area that the main information of journal file described in step 2 is encoded including abnormal object, abnormal object enters,
Residence time in monitor area of time, abnormal object into monitor area, abnormal object leave the time of monitor area.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410604465.8A CN104320623B (en) | 2014-11-03 | 2014-11-03 | A kind of method that intelligent monitor system recording exceptional target moves route |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410604465.8A CN104320623B (en) | 2014-11-03 | 2014-11-03 | A kind of method that intelligent monitor system recording exceptional target moves route |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN104320623A CN104320623A (en) | 2015-01-28 |
| CN104320623B true CN104320623B (en) | 2017-09-15 |
Family
ID=52375786
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201410604465.8A Active CN104320623B (en) | 2014-11-03 | 2014-11-03 | A kind of method that intelligent monitor system recording exceptional target moves route |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104320623B (en) |
Families Citing this family (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105142111B (en) * | 2015-09-17 | 2018-12-28 | 中国有色金属长沙勘察设计研究院有限公司 | A kind of identities match method and identities match device based on real time position |
| CN105205467A (en) * | 2015-09-22 | 2015-12-30 | 哈尔滨多智科技发展有限公司 | Monitoring and tracking method based on face identification system and vehicle identification system |
| CN105763613A (en) * | 2016-03-17 | 2016-07-13 | 浙江宇视科技有限公司 | Monitoring object and monitoring video associated backup method and device |
| CN106162106A (en) * | 2016-08-26 | 2016-11-23 | 浙江大华技术股份有限公司 | Date storage method in a kind of video monitoring system and device |
| CN106926247A (en) * | 2017-01-16 | 2017-07-07 | 深圳前海勇艺达机器人有限公司 | With the robot looked for something in automatic family |
| CN109460487A (en) * | 2018-12-18 | 2019-03-12 | 郑州云海信息技术有限公司 | A kind of video monitoring method for quickly retrieving and system |
| CN111931569B (en) * | 2020-07-01 | 2021-03-19 | 江苏柏勋科技发展有限公司 | Security monitoring thermodynamic diagram statistical system |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101436337A (en) * | 2008-12-23 | 2009-05-20 | 北京中星微电子有限公司 | Method and apparatus for monitoring event |
| CN101587619A (en) * | 2008-05-21 | 2009-11-25 | 上海新联纬讯科技发展有限公司 | Detection method for intrusion object based on video monitoring |
| CN101785036A (en) * | 2007-08-21 | 2010-07-21 | 日本电气株式会社 | Behavior monitoring system and behavior monitoring method |
| CN102831238A (en) * | 2012-09-03 | 2012-12-19 | 湖南赛格导航技术研究有限公司 | Method for showing historical track of vehicle running in test mode |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP3999561B2 (en) * | 2002-05-07 | 2007-10-31 | 松下電器産業株式会社 | Surveillance system and surveillance camera |
-
2014
- 2014-11-03 CN CN201410604465.8A patent/CN104320623B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101785036A (en) * | 2007-08-21 | 2010-07-21 | 日本电气株式会社 | Behavior monitoring system and behavior monitoring method |
| CN101587619A (en) * | 2008-05-21 | 2009-11-25 | 上海新联纬讯科技发展有限公司 | Detection method for intrusion object based on video monitoring |
| CN101436337A (en) * | 2008-12-23 | 2009-05-20 | 北京中星微电子有限公司 | Method and apparatus for monitoring event |
| CN102831238A (en) * | 2012-09-03 | 2012-12-19 | 湖南赛格导航技术研究有限公司 | Method for showing historical track of vehicle running in test mode |
Also Published As
| Publication number | Publication date |
|---|---|
| CN104320623A (en) | 2015-01-28 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104320623B (en) | A kind of method that intelligent monitor system recording exceptional target moves route | |
| US10726271B2 (en) | Virtual turnstile system and method | |
| EP3732638A1 (en) | System and method for managing mass gatherings | |
| US20170262706A1 (en) | Smart tracking video recorder | |
| US20210240851A1 (en) | System and method for privacy-aware analysis of video streams | |
| WO2020093829A1 (en) | Method and device for real-time statistical analysis of pedestrian flow in open space | |
| JPWO2014132841A1 (en) | Person search method and home staying person search device | |
| CN111401161A (en) | Intelligent building management and control system for realizing behavior recognition based on intelligent video analysis algorithm | |
| Xu et al. | Video analytics with zero-streaming cameras | |
| WO2023273629A1 (en) | System and apparatus for configuring neural network model in edge server | |
| US11429467B2 (en) | Method and system for prediction of correct discrete sensor data based on temporal uncertainty | |
| KR102304109B1 (en) | Animal tracking monitoring server and operation method thereof | |
| US20180012079A1 (en) | Person in a physical space | |
| US10176379B1 (en) | Integrating computer vision and wireless data to provide identification | |
| CN110519324A (en) | A kind of personage's method for tracing and system based on network path big data | |
| US11113838B2 (en) | Deep learning based tattoo detection system with optimized data labeling for offline and real-time processing | |
| US9805272B1 (en) | Storage system of original frame of monitor data and storage method thereof | |
| US11210378B2 (en) | System and method for authenticating humans based on behavioral pattern | |
| Jagdev et al. | Excavating big data associated to Indian election scenario via Apache Hadoop | |
| CN112949359A (en) | Convolutional neural network-based abnormal behavior identification method and device | |
| CN112804566A (en) | Program recommendation method, device and computer readable storage medium | |
| WO2019130005A1 (en) | System and method for maintenance management during a mass gathering | |
| CN111291597B (en) | Crowd situation analysis method, device, equipment and system based on image | |
| TWI674560B (en) | Behavior analysis system and method of vehicle | |
| CN113158842A (en) | Identification method, system, device and medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C53 | Correction of patent for invention or patent application | ||
| CB03 | Change of inventor or designer information |
Inventor after: Zhou Dan Inventor after: Wang Sujuan Inventor before: Zhou Dan |
|
| COR | Change of bibliographic data |
Free format text: CORRECT: INVENTOR; FROM: ZHOU DAN TO: ZHOU DAN WANG SUJUAN |
|
| GR01 | Patent grant | ||
| GR01 | Patent grant |