CN102595103B - Method based on geographic information system (GIS) map deduction intelligent video - Google Patents
Method based on geographic information system (GIS) map deduction intelligent video Download PDFInfo
- Publication number
- CN102595103B CN102595103B CN201210057724.0A CN201210057724A CN102595103B CN 102595103 B CN102595103 B CN 102595103B CN 201210057724 A CN201210057724 A CN 201210057724A CN 102595103 B CN102595103 B CN 102595103B
- Authority
- CN
- China
- Prior art keywords
- video
- information
- target
- video monitoring
- analysis processor
- 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
Images
Abstract
The invention relates to a method based on a geographic information system (GIS) map deduction intelligent video. When a monitored target appears in a video monitoring area, a video monitoring camera shoots a video of the monitored target; the video is transmitted to a video analyzing processor; the video analyzing processor separates a scene and the target of the video; the video analyzing processor sets other associated video monitoring cameras into monitoring modes according to a camera position information database and GIS geographic information of the video monitoring area; the associated video monitoring cameras shoots video recording information; and when the target appears in the video recording information shot by the associated video monitoring cameras, the video analyzing processor calls the video recording information shot by the associated video monitoring cameras and provides the video recording information to a monitoring worker, so that the aims of improving the utilization rate of the video and aiding related workers to search for the target are fulfilled.
Description
Technical field
The present invention relates to a kind of video and deduce analyzing and associating method, refer to especially a kind of method of the video collecting being used based on GIS cartographic information.
Background technology
As everyone knows, GIS map is the information system of describing, gather, store, manage, analyze earth surface and space data relevant with geographical distribution.It is take geospatial database as basis, under the support of computer hardware and software environment, space correlation data are gathered, manage, operate, analyze, simulated and show, and adopt the method for geographical model analysis, it can provide multiple space and dynamic geography information in good time, a class computer application system of setting up for all kinds of research, overall merit, management, quantitative analysis and decision service.
GIS map application is to video monitoring, and its application comprises the aspects such as the displaying live view of video, historical video playback, GPS equipment location, track of vehicle inquiry.But how to vehicle or personnel according to information such as its direction of motion, speed, in conjunction with GIS map road network information, deduce out its motion track, the problem that realizes the tracking of camera lens according to possible track also never solves now, and this is the major defect for conventional art.
Summary of the invention
The invention provides a kind of method of deducing intelligent video based on GIS map, thereby the video information collecting and GIS cartographic information are merged to the effect that reaches raising video utilization ratio additional related people finder destination object, and this is to be main purpose of the present invention.
The technical solution adopted in the present invention is: a kind of method of deducing intelligent video based on GIS map, in specific video monitoring regional, some video monitoring cameras are set, some these video monitoring cameras are arranged on and in this video monitoring regional, form video monitoring net.
Some these video monitoring cameras are connected with video storage analytic unit respectively, this video storage analytic unit comprises memory and video analysis processor, GIS map server is connected with this video storage analytic unit, by this GIS map server, the GIS cartographic information of this video monitoring regional is offered to this video storage analytic unit, and this GIS cartographic information is stored in this memory.
The latitude and longitude information of each this video monitoring camera is stored in and in this memory, forms camera position information bank.
The video record information that each this video monitoring camera of this video storage analytic unit control is taken its periphery, this video analysis processor is analyzed to select and be stored in to this video record information by predefined analysis preference pattern in this video analysis processor and in this memory, is formed video initial state information storehouse.
This video analysis processor cuts form slection to the video in this video initial state information storehouse and becomes video information index, and this video information index is stored up in this memory.
This video information index is from the video content in this video initial state information storehouse, analyze by the structure to former video and content, significant part in Video segmentation, video content extraction, importance degree judge, synthetic video, sets up this video information index.
In this video analysis processor, alarm rule is set, this alarm rule is associated with this video information index.
In the time that target to be monitored appears in this video monitoring regional, this video monitoring camera is taken the video of target to be monitored, this transmission of video is to this video analysis processor, by this video analysis processor, this video is carried out to separating of scene and target, this video analysis processor compares this video and this video information index, then in this video initial state information storehouse, find corresponding video record information by this video information index, this video record information is scene, from the video of target to be monitored, cropping scene remainder is target, target is set to this alarm rule.
Be set to monitoring mode by this video analysis processor according to other associated video monitoring cameras of the GIS cartographic information of this camera position information bank and this video monitoring regional, this video analysis processor judges that the video monitoring camera that target may be passed through is associated video monitoring camera, associated video monitoring camera capture video video information, the video record information that associated video monitoring camera is taken compares with this video information index and this alarm rule constantly, when target appear at associated video monitoring camera take video record information in time, the video record information that this video analysis processor is taken this associated video monitoring camera takes out and offers monitor staff.
Between each this video monitoring camera and this video storage analytic unit, be connected with optical transmitter and receiver, between this video monitoring camera and optical transmitter and receiver, carry out data double-way transmission, this optical transmitter and receiver is also connected with a SCSI hard disk memory.
Beneficial effect of the present invention is: technical scheme of the present invention in concrete enforcement when target to be monitored appears in this video monitoring regional when the video of this video monitoring camera shooting target to be monitored, this transmission of video is to this video analysis processor, by this video analysis processor, this video is carried out to separating of scene and target, be set to monitoring mode by this video analysis processor according to other associated video monitoring cameras of the GIS cartographic information of this camera position information bank and this video monitoring regional, associated video monitoring camera capture video video information, when target appear at associated video monitoring camera take video record information in time, thereby the video record information that this video analysis processor is taken this associated video monitoring camera takes out and offers monitor staff and reach the effect that improves video utilization ratio additional related people finder destination object.
Accompanying drawing explanation
Fig. 1 is functional-block diagram of the present invention.
Fig. 2 is the functional-block diagram of memory portion of the present invention.
Embodiment
As shown in Fig. 1 to 2, a kind ofly deduce the method for intelligent video based on GIS map, in specific video monitoring regional, some video monitoring cameras 10 are set, some these video monitoring cameras 10 are arranged on and in this video monitoring regional, form video monitoring net.
Some these video monitoring cameras 10 are connected with video storage analytic unit 20 respectively.
This video storage analytic unit 20 comprises memory 21 and video analysis processor 22.
The latitude and longitude information of each this video monitoring camera 10 is stored in this memory 21 and forms camera position information bank 11.
This video storage analytic unit 20 is controlled the video record information that each this video monitoring camera 10 is taken its peripheries, and this video analysis processor 22 is analyzed to select and be stored in to this video record information by predefined analysis preference pattern in this video analysis processor 22 and in this memory 21, formed video initial state information storehouse 12.
This video analysis processor 22 cuts form slection to the video in this video initial state information storehouse 12 and becomes video information index 13, and this video information index 13 is stored up in this memory 21.
This video information index 13 is from the video content in this video initial state information storehouse 12, analyze by the structure to former video and content, significant part in Video segmentation, video content extraction, importance degree judge, synthetic video, sets up this video information index 13.
In this video analysis processor 22, alarm rule is set, this alarm rule is associated with this video information index 13.
In the time that target to be monitored appears in this video monitoring regional, this video monitoring camera 10 is taken the video of target to be monitored.
This transmission of video is to this video analysis processor 22.
By this video analysis processor 22, this video is carried out to separating of scene and target.
This video analysis processor 22 compares this video and this video information index 13, then in this video initial state information storehouse 12, finds corresponding video record information by this video information index 13, and this video record information is scene.
From the video of target to be monitored, cropping scene remainder is target.
Target is set to this alarm rule.
According to the GIS cartographic information of this camera position information bank 11 and this video monitoring regional, other associated video monitoring cameras 10 are set to monitoring mode by this video analysis processor 22.
This video analysis processor 22 judges that the video monitoring camera 10 that target may be passed through is associated video monitoring camera 10.
Associated video monitoring camera 10 capture video video informations, the video record information that associated video monitoring camera 10 is taken compares with this video information index 13 and this alarm rule constantly, in the time that target appears in the video record information that associated video monitoring camera 10 takes, the video record information that this video analysis processor 22 is taken this associated video monitoring camera 10 takes out and offers monitor staff.
The present invention is in concrete enforcement, when the object element that finds that there is abnormal conditions as monitor from monitored picture occurs, according to its route, the result of analyzing according to the road net data in GIS map, deduce out its motion track, and manually capture and intercept affiliated picture from monitored picture immediately, and fast this picture is edited to mark and confirm.Meanwhile be chosen in the personnel of periphery by the phone number prestoring, send to the related personnel of front end in the mode of cell phone multimedia message, related personnel launches an attack rapidly, deploy to ensure effective monitoring and control of illegal activities and interception target, use the auxiliary means of communications such as cell phone multimedia message and intercom to compare to the information of object element, confirm the relevant information of target, realize fast reaction and scheduling in intelligence deduction.
The present invention also can support by the information service of stuck point on to GIS in concrete enforcement, realizes comprehensively searching and studying and judging all vehicles through stuck point, owner information.Automatic all vehicles to passed through stuck point are carried out car plates identification, and registration of vehicle key message, comprise the stuck point time of license plate number, type of vehicle, vehicle color, vehicle process.By the license board information in the identification of arbitrary stuck point, initiatively capture Vehicle Driving Cycle picture, even vehicle front driver figure and features feature clearly, by with the correlation inquiry of owner information, study and judge fact basis be provided for cases.
In advance suspected vehicles is deployed to ensure effective monitoring and control of illegal activities in bayonet system, in the time deploying to ensure effective monitoring and control of illegal activities vehicle process bayonet socket, bayonet system can send to client by warning message automatically, and on GIS map, plays immediately the video of bayonet socket periphery, realizes the following function of bayonet socket periphery video.
Bayonet socket be exactly different local arrange for recording, preserve, transmit the relevant intelligent equipment of bayonet socket field data, generally comprise three parts, front end register system, network transmission system, back-stage management center.Bayonet socket is according to using different deploy to ensure effective monitoring and control of illegal activities bayonet socket and the bayonet sockets that test the speed of being divided into of object.
Claims (4)
1. deduce the method for intelligent video based on GIS map for one kind, it is characterized in that: in specific video monitoring regional, some video monitoring cameras are set, some these video monitoring cameras are arranged on and in this video monitoring regional, form video monitoring net, some these video monitoring cameras are connected with video storage analytic unit respectively
This video storage analytic unit comprises memory and video analysis processor, GIS map server is connected with this video storage analytic unit, by this GIS map server, the GIS cartographic information of this video monitoring regional is offered to this video storage analytic unit, and this GIS cartographic information is stored in this memory
The latitude and longitude information of each this video monitoring camera is stored in and in this memory, forms camera position information bank,
The video record information that each this video monitoring camera of this video storage analytic unit control is taken its periphery, this video analysis processor is analyzed to select and be stored in to this video record information by predefined analysis preference pattern in this video analysis processor and in this memory, is formed video initial state information storehouse
This video analysis processor cuts form slection to the video in this video initial state information storehouse and becomes video information index, and by this video information index stores in this memory,
In this video analysis processor, alarm rule is set, this alarm rule is associated with this video information index,
In the time that target to be monitored appears in this video monitoring regional, this video monitoring camera is taken the video of target to be monitored, this transmission of video is to this video analysis processor, by this video analysis processor, this video is carried out to separating of scene and target, this video analysis processor compares this video and this video information index, then in this video initial state information storehouse, find corresponding video record information by this video information index, this video record information is scene, from the video of target to be monitored, cropping scene remainder is target, target is set to this alarm rule,
Be set to monitoring mode by this video analysis processor according to other associated video monitoring cameras of the GIS cartographic information of this camera position information bank and this video monitoring regional, this video analysis processor judges that the video monitoring camera that target may be passed through is associated video monitoring camera
Associated video monitoring camera capture video video information, the video record information that associated video monitoring camera is taken compares with this video information index and this alarm rule constantly, in the time that target appears in the video record information that associated video monitoring camera takes, the video record information that this video analysis processor is taken this associated video monitoring camera takes out and offers monitor staff.
2. a kind of method of deducing intelligent video based on GIS map as claimed in claim 1, it is characterized in that: this video information index is from the video content in this video initial state information storehouse, analyze by the structure to former video and content, significant part in Video segmentation, video content extraction, importance degree judge, synthetic video, sets up this video information index.
3. a kind of method of deducing intelligent video based on GIS map as claimed in claim 1, it is characterized in that: between each this video monitoring camera and this video storage analytic unit, be connected with optical transmitter and receiver, between this video monitoring camera and optical transmitter and receiver, carry out data double-way transmission.
4. a kind of method of deducing intelligent video based on GIS map as claimed in claim 3, is characterized in that: this optical transmitter and receiver is also connected with a SCSI hard disk memory.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201210057724.0A CN102595103B (en) | 2012-03-07 | 2012-03-07 | Method based on geographic information system (GIS) map deduction intelligent video |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201210057724.0A CN102595103B (en) | 2012-03-07 | 2012-03-07 | Method based on geographic information system (GIS) map deduction intelligent video |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN102595103A CN102595103A (en) | 2012-07-18 |
| CN102595103B true CN102595103B (en) | 2014-05-28 |
Family
ID=46483261
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201210057724.0A Active CN102595103B (en) | 2012-03-07 | 2012-03-07 | Method based on geographic information system (GIS) map deduction intelligent video |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN102595103B (en) |
Families Citing this family (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103873822A (en) * | 2012-12-18 | 2014-06-18 | 华为技术有限公司 | Method, equipment and system for monitoring system to select camera to browse in real time |
| CN103079061B (en) * | 2013-01-30 | 2016-07-13 | 浙江宇视科技有限公司 | A kind of video tracking processes device and video link processes device |
| CN104572653A (en) * | 2013-10-12 | 2015-04-29 | 北京航天长峰科技工业集团有限公司 | Method for quickly constructing topological relation of metro mass video camera |
| CN104639877A (en) * | 2013-11-06 | 2015-05-20 | 北京航天长峰科技工业集团有限公司 | A video monitoring system based on positioning information |
| CN103795984A (en) * | 2014-02-07 | 2014-05-14 | 彭世藩 | Self-learning omnibearing mobile monitoring system |
| CN105898200A (en) * | 2014-12-01 | 2016-08-24 | 支录奎 | Internet protocol camera and system for tracking suspected target positioning locus |
| CN104902224B (en) * | 2015-04-30 | 2018-03-23 | 苏州华兴致远电子科技有限公司 | The method and system of image data acquiring |
| CN105336171B (en) * | 2015-10-16 | 2017-12-29 | 浙江宇视科技有限公司 | A kind of camera position scaling method and device |
| CN107315795B (en) * | 2017-06-15 | 2019-08-02 | 武汉大学 | The instance of video search method and system of joint particular persons and scene |
| CN112085953B (en) * | 2019-06-12 | 2022-08-05 | 杭州海康威视系统技术有限公司 | Traffic command method, device and equipment |
| CN111429723B (en) * | 2020-04-13 | 2021-08-06 | 大唐信通(浙江)科技有限公司 | Communication and perception data fusion method based on road side equipment |
| CN112256819A (en) * | 2020-11-13 | 2021-01-22 | 珠海大横琴科技发展有限公司 | Data processing method and device based on monitoring map and readable storage medium |
| CN116582653B (en) * | 2023-07-14 | 2023-10-27 | 广东天亿马信息产业股份有限公司 | Intelligent video monitoring method and system based on multi-camera data fusion |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101635835A (en) * | 2008-07-25 | 2010-01-27 | 深圳市信义科技有限公司 | Intelligent video monitoring method and system thereof |
| CN101950426A (en) * | 2010-09-29 | 2011-01-19 | 北京航空航天大学 | Vehicle relay tracking method in multi-camera scene |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20110132884A (en) * | 2010-06-03 | 2011-12-09 | 한국전자통신연구원 | Apparatus for intelligent video information retrieval supporting multi channel video indexing and retrieval, and method thereof |
-
2012
- 2012-03-07 CN CN201210057724.0A patent/CN102595103B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101635835A (en) * | 2008-07-25 | 2010-01-27 | 深圳市信义科技有限公司 | Intelligent video monitoring method and system thereof |
| CN101950426A (en) * | 2010-09-29 | 2011-01-19 | 北京航空航天大学 | Vehicle relay tracking method in multi-camera scene |
Also Published As
| Publication number | Publication date |
|---|---|
| CN102595103A (en) | 2012-07-18 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102595103B (en) | Method based on geographic information system (GIS) map deduction intelligent video | |
| CN105761500B (en) | Traffic accident treatment method and traffic accident treatment device | |
| EP2980767B1 (en) | Video search and playback interface for vehicle monitor | |
| US11579759B1 (en) | Systems and methods for security data analysis and display | |
| US8890957B2 (en) | Method, system, computer program product and computer-readable recording medium for object tracking | |
| Morishita et al. | Sakurasensor: quasi-realtime cherry-lined roads detection through participatory video sensing by cars | |
| WO2016202027A1 (en) | Object movement trajectory recognition method and system | |
| CN109145065A (en) | Methods of exhibiting and device, the computer readable storage medium of vehicle driving trace | |
| CN104519319A (en) | Method and device for surveillance video display of electronic map | |
| CN104820669A (en) | System and method for enhanced time-lapse video generation using panoramic imagery | |
| CN104200671A (en) | Method and system for managing virtual gate based on big data platform | |
| US8344907B2 (en) | Vehicle traffic flow data acquisition and distribution | |
| EP2682925A1 (en) | Vehicle monitoring method and vehicle management system | |
| CN104660969A (en) | System and method for achieving high-definition intelligent toll-gate management based on GIS map and video | |
| CN103984716A (en) | Method and system for precisely positioning space address based on geographical information | |
| KR102426943B1 (en) | Air pollutants ouput and fine dust monitoring Smart CCTV system of road vehicle | |
| CN113870613A (en) | Parking space determination method and device, electronic equipment and storage medium | |
| JP2015210713A (en) | Driving recorder and cloud road-information operation system using the same | |
| KR20070061257A (en) | System and method for potal service based on ubiquitous network in navigation system | |
| JP7278414B2 (en) | Digital restoration method, apparatus and system for traffic roads | |
| KR101686851B1 (en) | Integrated control system using cctv camera | |
| TW201530097A (en) | Roundup system of criminal vehicle and method | |
| JP2022045032A (en) | Road peripheral object monitoring device and road peripheral object monitoring program | |
| KR20160075051A (en) | System and method for tracking vehicle location | |
| CN205726116U (en) | A kind of supervising device, monitoring system and monitoring network |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CP01 | Change in the name or title of a patent holder |
Address after: 518000 4th floor, modern building, South 4th Road, Gaoxin, Nanshan District, Shenzhen City, Guangdong Province Patentee after: Shenzhen Radio & TV Xinyi Technology Co.,Ltd. Address before: 518000 4th floor, modern building, South 4th Road, Gaoxin, Nanshan District, Shenzhen City, Guangdong Province Patentee before: SHENZHEN XINYI TECHNOLOGY Co.,Ltd. |
|
| CP01 | Change in the name or title of a patent holder |