CN102595103A - 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
- CN102595103A CN102595103A CN2012100577240A CN201210057724A CN102595103A CN 102595103 A CN102595103 A CN 102595103A CN 2012100577240 A CN2012100577240 A CN 2012100577240A CN 201210057724 A CN201210057724 A CN 201210057724A CN 102595103 A CN102595103 A CN 102595103A
- Authority
- CN
- China
- Prior art keywords
- video
- information
- target
- analysis processor
- video monitoring
- 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.)
- Granted
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 the analyzing and associating method, be meant a kind of method of the video that collects being used based on the GIS cartographic information especially.
Background technology
As everyone knows, the GIS map is to describe, gather, store, manage, to analyze the information system of earth surface and the space data relevant with geographical distribution.It is to be the basis with the geospatial database; Under the support of computer hardware and software environment; The space correlation data are gathered, manage, operate, analyze, simulated and show; And the method that adopts geographic model to analyze, it can provide multiple space and dynamic geography information in good time, one type of computer application system setting up for all kinds of researchs, overall merit, management, quantitative analysis and decision service.
The GIS map application is to video monitoring, and its application comprises aspects such as the displaying live view of video, historical video playback, GPS equipment location, track of vehicle inquiry.Yet 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, realize that according to possible track the problem of the tracking of camera lens also never solves now, and this is the major defect for conventional art.
Summary of the invention
The present invention provides a kind of method of deducing intelligent video based on the GIS map; Thereby video information that collects and GIS cartographic information are merged 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 scheme that the present invention adopted is: a kind of method of deducing intelligent video based on the GIS map; Some video monitoring cameras are set in the specific video guarded region, and some these video monitoring cameras are arranged on and form the video monitoring net in this video monitoring regional.
Some these video monitoring cameras are connected with the video storage analytic unit respectively; This video storage analytic unit comprises memory and video analysis processor; The 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 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 all is stored in formation camera position information bank in this memory.
This each this video monitoring camera of video storage analytic unit control is taken its peripheral video record information, and this video analysis processor is analyzed to select and be stored in to this video record information through predefined analysis preference pattern in this video analysis processor and formed video initial state information storehouse in this memory.
This video analysis processor cuts form slection to the video in this video initial state information storehouse and becomes the 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; Structure and content through to former video are analyzed; Through video cut apart, video content extracts, importance degree is passed judgment on, significant part in the 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.
This video monitoring camera is taken the video of target to be monitored when target to be monitored appears in this video monitoring regional; This video transmission is to this video analysis processor; By this video analysis processor this video is carried out 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, finds corresponding video record information through this video information index, and this video record information is scene; From the video of target to be monitored, cropping the scene remainder is target, is this alarm rule with Target Setting.
Be set to monitoring mode by this video analysis processor according to other associated video monitoring cameras of 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 possibly passed through is the associated video monitoring camera; Associated video monitoring camera capture video video information; The video record information that the associated video monitoring camera is taken compares with this video information index and this alarm rule constantly; When target appeared in the video record information that the associated video monitoring camera takes, the video record information that this video analysis processor is taken this associated video monitoring camera took out and offers the monitor staff.
All be connected with optical transceiver between each this video monitoring camera and this video storage analytic unit, carry out the data double-way transmission between this video monitoring camera and the optical transceiver, this optical transceiver also is connected with a video harddisk memory.
Beneficial effect of the present invention is: technical scheme of the present invention in practical implementation when target to be monitored appears in this video monitoring regional this video monitoring camera take the video of target to be monitored; This video transmission is to this video analysis processor; By this video analysis processor this video is carried out separating of scene and target; Be set to monitoring mode by this video analysis processor according to other associated video monitoring cameras of GIS cartographic information of this camera position information bank and this video monitoring regional; Associated video monitoring camera capture video video information; When target appears in the video record information that the associated video monitoring camera takes, thereby the video record information that this video analysis processor is taken this associated video monitoring camera takes out and offers the monitor staff and reach the effect that improves video utilization ratio additional related people finder destination object.
Description of drawings
Fig. 1 is a functional-block diagram of the present invention.
Fig. 2 is the functional-block diagram of memory portion of the present invention.
Embodiment
Shown in Fig. 1 to 2, a kind of method based on GIS map deduction intelligent video is provided with some video monitoring cameras 10 in the specific video guarded region, and some these video monitoring cameras 10 are arranged on and form the video monitoring net in this video monitoring regional.
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 all is stored in formation camera position information bank 11 in this memory 21.
Each this video monitoring camera 10 of these video storage analytic unit 20 controls is taken its peripheral video record information, and this video analysis processor 22 is analyzed to select and be stored in to this video record information through predefined analysis preference pattern in this video analysis processor 22 and formed video initial state information storehouse 12 in this memory 21.
Video in 22 pairs of these video initial state information storehouses 12 of this video analysis processor cuts form slection 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; Structure and content through to former video are analyzed; Through video cut apart, video content extracts, importance degree is passed judgment on, significant part in the 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.
This video monitoring camera 10 is taken the video of target to be monitored when target to be monitored appears in this video monitoring regional.
This video transmission is to this video analysis processor 22.
Carry out separating of scene and target by 22 pairs of these videos of this video analysis processor.
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 through this video information index 13, and this video record information is scene.
From the video of target to be monitored, cropping the scene remainder is target.
With Target Setting is 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 possibly 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; When target appeared 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 took out and offers the monitor staff.
The present invention is in practical implementation; When the monitor finds to have the object element of abnormal conditions to occur from monitored picture; According to its route, the result according to the road net data in the GIS map is analyzed deduces out its motion track; And manually capture picture under the intercepting from monitored picture immediately, and fast this picture is edited mark and confirm.Meanwhile be chosen in the personnel of periphery through the phone number that prestores; Send to the related personnel of front end with the mode of cell phone multimedia message; The related personnel launches an attack rapidly, deploys to ensure effective monitoring and control of illegal activities and interception target, uses auxiliary means of communications such as cell phone multimedia message and intercom that the information of object element is compared; Confirm the relevant information of target, realize fast reaction and scheduling in the intelligence deduction.
The present invention also can support through the information service to stuck point on the GIS in practical implementation, realizes comprehensively searching and studying and judging all vehicles through stuck point, owner information.Automatic all vehicles to the process stuck point are carried out car plates identification, and the registration of vehicle key message, comprise the stuck point time of license plate number, type of vehicle, vehicle color, vehicle process.License board information through in the identification of arbitrary stuck point initiatively grasps the vehicle ' picture, even vehicle front driver figure and features characteristic clearly, through with the correlation inquiry of owner information, studying and judging for cases provides true foundation.
In advance suspected vehicles is deployed to ensure effective monitoring and control of illegal activities in the bayonet system, when the vehicle of deploying to ensure effective monitoring and control of illegal activities during through bayonet socket, bayonet system can send to client with warning message automatically, and on the GIS map, plays the video of bayonet socket periphery immediately, realizes the following function of bayonet socket periphery video.
Bayonet socket is exactly at the different local relevant intelligent equipments that are used to write down, preserve, transmit the bayonet socket field data that are provided with, and generally comprises three parts, front end register system, network transmission system, back-stage management center.Bayonet socket is according to using different the 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. method of deducing intelligent video based on the GIS map; It is characterized in that: some video monitoring cameras are set in the specific video guarded region; Some these video monitoring cameras are arranged on and form the video monitoring net in this video monitoring regional; Some these video monitoring cameras are connected with the video storage analytic unit respectively
This video storage analytic unit comprises memory and video analysis processor; The 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 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 all is stored in formation camera position information bank in this memory,
This each this video monitoring camera of video storage analytic unit control is taken its peripheral video record information; This video analysis processor is analyzed to select and be stored in to this video record information through predefined analysis preference pattern in this video analysis processor and is formed video initial state information storehouse in this memory
This video analysis processor cuts form slection to the video in this video initial state information storehouse and becomes the video information index, and this video information index is stored up in this memory,
In this video analysis processor, alarm rule is set, this alarm rule is associated with this video information index,
This video monitoring camera is taken the video of target to be monitored when target to be monitored appears in this video monitoring regional; This video transmission is to this video analysis processor; By this video analysis processor this video is carried out 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, finds corresponding video record information through this video information index; This video record information is scene; From the video of target to be monitored, cropping the scene remainder is target, is this alarm rule with Target Setting
Be set to monitoring mode by this video analysis processor according to other associated video monitoring cameras of 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 possibly passed through is the associated video monitoring camera
Associated video monitoring camera capture video video information; The video record information that the associated video monitoring camera is taken compares with this video information index and this alarm rule constantly; When target appeared in the video record information that the associated video monitoring camera takes, the video record information that this video analysis processor is taken this associated video monitoring camera took out and offers the monitor staff.
2. a kind of method of deducing intelligent video based on the 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; Structure and content through to former video are analyzed; Through video cut apart, video content extracts, importance degree is passed judgment on, significant part in the synthetic video, sets up this video information index.
3. a kind of method of deducing intelligent video based on the GIS map as claimed in claim 1; It is characterized in that: all be connected with optical transceiver between each this video monitoring camera and this video storage analytic unit, carry out the data double-way transmission between this video monitoring camera and the optical transceiver.
4. a kind of method based on GIS map deduction intelligent video as claimed in claim 3, it is characterized in that: this optical transceiver also is connected with a video harddisk 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 true CN102595103A (en) | 2012-07-18 |
| CN102595103B 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) |
Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103079061A (en) * | 2013-01-30 | 2013-05-01 | 浙江宇视科技有限公司 | Video tracking processing device and video link processing device |
| CN103795984A (en) * | 2014-02-07 | 2014-05-14 | 彭世藩 | Self-learning omnibearing mobile monitoring system |
| 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 |
| 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 |
| CN104902224A (en) * | 2015-04-30 | 2015-09-09 | 苏州华兴致远电子科技有限公司 | Image data acquisition method and system |
| CN105336171A (en) * | 2015-10-16 | 2016-02-17 | 浙江宇视科技有限公司 | Camera position calibration method and device |
| CN105898200A (en) * | 2014-12-01 | 2016-08-24 | 支录奎 | Internet protocol camera and system for tracking suspected target positioning locus |
| CN107315795A (en) * | 2017-06-15 | 2017-11-03 | 武汉大学 | The instance of video search method and system of joint particular persons and scene |
| CN111429723A (en) * | 2020-04-13 | 2020-07-17 | 大唐信通(浙江)科技有限公司 | Communication and perception data fusion method based on road side equipment |
| CN112085953A (en) * | 2019-06-12 | 2020-12-15 | 杭州海康威视系统技术有限公司 | Traffic command method, device and 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 |
| CN116582653A (en) * | 2023-07-14 | 2023-08-11 | 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 (3)
| 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 |
| US20110302130A1 (en) * | 2010-06-03 | 2011-12-08 | Electronics And Telecommunications Research Institute | Intelligent video information retrieval apparatus and method capable of multi-dimensional video indexing and retrieval |
-
2012
- 2012-03-07 CN CN201210057724.0A patent/CN102595103B/en active Active
Patent Citations (3)
| 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 |
| US20110302130A1 (en) * | 2010-06-03 | 2011-12-08 | Electronics And Telecommunications Research Institute | Intelligent video information retrieval apparatus and method capable of multi-dimensional video indexing and retrieval |
| CN101950426A (en) * | 2010-09-29 | 2011-01-19 | 北京航空航天大学 | Vehicle relay tracking method in multi-camera scene |
Cited By (18)
| 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 |
| WO2014094616A1 (en) * | 2012-12-18 | 2014-06-26 | 华为技术有限公司 | Method, device and system for monitoring system selecting camera to implement real-time viewing |
| CN103079061A (en) * | 2013-01-30 | 2013-05-01 | 浙江宇视科技有限公司 | Video tracking processing device and video link processing device |
| 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 |
| CN104902224A (en) * | 2015-04-30 | 2015-09-09 | 苏州华兴致远电子科技有限公司 | Image data acquisition method and system |
| 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 |
| CN105336171A (en) * | 2015-10-16 | 2016-02-17 | 浙江宇视科技有限公司 | Camera position calibration method and device |
| CN107315795A (en) * | 2017-06-15 | 2017-11-03 | 武汉大学 | The instance of video search method and system of joint particular persons and scene |
| 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 |
| CN112085953A (en) * | 2019-06-12 | 2020-12-15 | 杭州海康威视系统技术有限公司 | Traffic command method, device and equipment |
| CN111429723A (en) * | 2020-04-13 | 2020-07-17 | 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 |
| CN116582653A (en) * | 2023-07-14 | 2023-08-11 | 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 |
| 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 |
Also Published As
| Publication number | Publication date |
|---|---|
| CN102595103B (en) | 2014-05-28 |
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 | |
| 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 | |
| CN105243851A (en) | Vehicle monitoring method and system | |
| CN105306899B (en) | Method and device for processing monitoring video | |
| CN202652420U (en) | Panorama monitoring system | |
| CN115348247A (en) | Forest fire detection early warning and decision-making system based on sky-ground integration technology | |
| CN104519319A (en) | Method and device for surveillance video display of electronic map | |
| CN104200671A (en) | Method and system for managing virtual gate based on big data platform | |
| US10217002B2 (en) | Systems and methods for monitoring unmanned vehicles | |
| CN108810462A (en) | A kind of camera video interlock method and system based on location information | |
| US8253591B2 (en) | Vehicle traffic flow data acquisition and distribution | |
| CN103295396A (en) | Method and system for speedy ex-situ evidence collection of traffic accident | |
| CN106682644A (en) | Double dynamic vehicle monitoring management system and method based on mobile vedio shooting device | |
| EP2682925A1 (en) | Vehicle monitoring method and vehicle management system | |
| CN105072425A (en) | Video monitoring method and video monitoring device | |
| CN115248880A (en) | Smart city security monitoring system | |
| CN104660969A (en) | System and method for achieving high-definition intelligent toll-gate management based on GIS map and video | |
| WO2014111874A1 (en) | System and method for evaluating geo-tagged billboards | |
| CN113870613A (en) | Parking space determination method and device, electronic equipment and storage medium | |
| EP2827259A1 (en) | Method for providing image data for a location | |
| CN111163288A (en) | Intelligent mobile police system and police office method | |
| Keval et al. | Man or gorilla? Performance issues with CCTV technology in security control rooms | |
| JP7278414B2 (en) | Digital restoration method, apparatus and system for traffic roads |
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 |