CN202042052U - Intelligent video event detecting system - Google Patents
Intelligent video event detecting system Download PDFInfo
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- CN202042052U CN202042052U CN2010206603368U CN201020660336U CN202042052U CN 202042052 U CN202042052 U CN 202042052U CN 2010206603368 U CN2010206603368 U CN 2010206603368U CN 201020660336 U CN201020660336 U CN 201020660336U CN 202042052 U CN202042052 U CN 202042052U
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Abstract
The utility model provides an intelligent video event detecting system, which is applicable to traffic and comprises a camera, a video conversion module, a video monitoring module and an output module. The camera, the video conversion module, the video monitoring module and the output module are electrically connected, the camera acquires video information and transmits the acquired video information to the video conversion module, the video conversion module converts received video information into specific digital signals and then transmits the specific digital signals to the video monitoring module, and the video monitoring module generates video event detecting results after realizing image processing and logic analysis for the video information and outputs the video event detecting results via the output module. The video monitoring module further comprises one or more of a presence detector, a counting detector, a speed detector, an accident detector and a foreign matter detector, detecting results of the various detectors are displayed at real time via the output module, and the output module can transmit alarming signals when abnormal conditions are detected.
Description
[technical field]
The utility model relates to a kind of video detection system, especially a kind of intelligent video event detection system that is applicable to highway.
[technical background]
Because highway has that road conditions is good, the speed of a motor vehicle is fast and characteristics such as service level height, so its volume of traffic constantly increases, role is also increasing in economic development.For ensureing the safe, unobstructed of highway, the advanced traffic surveillance and control system of employing prevents and reduces traffic jam, traffic hazard, avoids the generation of second accident, reduces casualties and property loss and just seems extremely important.
Commonly used is coil checker at present, and volume is little, and antijamming capability is strong, is a kind of wagon detector based on electromagnetic induction principle, and when vehicle passed through hot-wire coil, coil checker can detect the existence of vehicle.But this detecting device can't be checked by video, can not extract the useful information of traffic control from monitoring image.
China's highway monitoring system is in the state that falls behind relatively, especially is embodied in the traffic information collection mode and falls behind, and can not satisfy traffic control, manage the demand to transport information.The video information that contains very big quantity of information that collects in the existing on the other hand supervisory system but is not fully utilized.Therefore video processing technique is applied to highway monitoring system, from video, extracts interested transport information, and with the method for traffic engineering Treatment Analysis in addition, with the monitoring level of raising China highway.
The most existing supervisory system all be with number of patent application be that the supervisory system of CN200910081875.8 is similar, all be to adopt camera that the video of traffic is shown to screen, adopt manual monitoring or have access to inquiry afterwards; Also have as number of patent application is CN200920095374.0, add intelligent management system, but also be manual monitoring basically, this manual monitoring not only wastes time and energy, and because monitor staff's the notice and the difference of judgment, often have very big subjectivity, a lot of unusual conditions can not be found timely.If adopt intelligent event-monitoring, then can carry out monitoring exhaustively in 7 * 24 hours according to unified standard, when unusual condition occurring, intelligent event-monitoring is reported to the police automatically, thereby reminds the monitor staff to handle.
[summary of the invention]
At the problems referred to above, the utility model proposes a kind of intelligent video event detection system, this system comprises electrical connection:
Camera is used to receive video information to be detected;
Video conversion module is electrically connected with described camera, and the video information that is used for receiving is converted to specific digital signal;
The video monitoring modular, the one end is electrically connected with video conversion module, the other end is electrically connected with output module, it has the accident detecting device, by described accident detecting device, detect and add up average velocity, occupation rate, the moving target flow parameter of moving target in the camera video visual field, when one of them exceeds the user preset value, send alarm command;
Output module is electrically connected with described video monitoring modular, is used to show and export the detection and the statistics of described video monitoring modular, and receives alarm command, and sends alerting signal;
Described camera collection video information, and the video information of gathering passed to video conversion module, described video conversion module passes to the video monitoring modular after the video information that receives is converted into specific digital signal, after described video monitoring modular carries out Flame Image Process to video information, by described accident detecting device described parameter is detected and adds up, and will detect and statistics be sent to output module; When described parameter surpassed the user preset value, described accident detecting device sent detection and statistics and alarm command to output module, and described output module shows described detection and statistics, and responds described alarm command, sends alerting signal.
Described video monitoring modular can further comprise the detecting device that exists that receives and handle described digital signal, it is electrically connected with video conversion module, the employing mixed Gaussian is handled the target in the described digital signal, obtain coordinate, the barycenter of target, and the length parameter of target, and compare with corresponding target component in the previous frame, with identification and tracking objects in video.
Described video monitoring modular can further comprise count detector, and the target that comes across in the video visual field is counted.
Described video monitoring modular can further comprise speed detector, by the speed of moving target by the Time Calculation moving target in the video visual field.
Described video monitoring modular can further comprise the foreign matter detecting device that is used to detect foreign matter in the video visual field, when the foreign matter parameter preset that is provided with as the volume of moving target and speed and user is consistent, sends alerting signal by output module.
Wherein nucleus module can detect the moving target in the video for there being detecting device, and from this moving target of motion tracking.Its principle is in the range of video of camera detection zone to be set, and background gray levels is changed, thereby learns the existence of moving target, and detects the image of all kinds of traffic datas of road, improper traffic events etc. with this.
Described intelligent video diagnosis supervisory system also can further comprise server, and the one end is electrically connected with the video monitoring modular, and the other end is electrically connected with output module, is used to store the video information of described camera, detected parameters and result.
This system can be used for highway communication, is particularly useful for the video monitoring of highway.The user in time checks the Video Detection result in several ways for convenience, and described output module can further comprise:
Display module is used for showing in real time current testing result;
Alarm module sends prompting message to abnormal conditions;
Statistical module, the testing result that is used for adding up the video monitoring modular;
Transport module is used for the video information and the testing result that send or receive by Network Transmission.
Described system can further comprise the module that is provided with that is electrically connected with described each module, and by the described module that is provided with, the user imports described preset value and parameter preset.Described system also can further comprise the user management module that is electrically connected with described each module, is used to detect user's copyright, so that the function of open each module.
By this system road traffic is carried out event monitoring, can guarantee The coast is clear, reduce the harmfulness of traffic hazard, reduction accident.By from video monitoring image, extracting the useful information of traffic monitoring and control, and with other information fusion, for event detection, accident rescue, traffic control etc. provide effective foundation.The utility model can accurately be added up the road traffic data, and the traffic conditions of monitor road is in time grasped the road operation situation effectively, finds and handle traffic hazard, reduces various influences to road traffic such as accident, traffic hazard.When the volume of traffic reaches capacity, also can be to traffic flow channeling conduct and control, to improve the road net traffic capacity.
[description of drawings]
Fig. 1 is a system of the present utility model connection diagram;
Fig. 2 is a server connection diagram of the present utility model;
Fig. 3 is the utility model video monitoring modular and output module connection diagram;
Fig. 4 is each module connection diagram of the utility model.
[embodiment]
Referring to Fig. 1-4, intelligent video event detection system of the present utility model comprises electrical connection:
Camera 1 is used to receive video information to be detected;
Video conversion module 2 is electrically connected with described camera 1, and the video information that is used for receiving is converted to specific digital signal;
Video monitoring modular 3, the one end is electrically connected with video conversion module 2, the other end is electrically connected with output module 5, it has accident detecting device 34, by described accident detecting device 34, detect and add up average velocity, occupation rate, the moving target flow parameter of moving target in the camera 1 video visual field, when one of them exceeds the user preset value, send alarm command;
Output module 5 is electrically connected with described video monitoring modular 3, is used to show and export the detection and the statistics of described video monitoring modular 3, and receives alarm command, and sends alerting signal;
Described camera 1 is gathered video information, and the video information of gathering passed to video conversion module 2, described video conversion module 2 passes to video monitoring modular 3 after the video information that receives is converted into specific digital signal, after 3 pairs of video informations of described video monitoring modular are carried out Flame Image Process, detect and add up by 34 pairs of described parameters of described accident detecting device, and will detect and statistics be sent to output module 5; When described parameter surpassed the user preset value, described accident detecting device 34 sent detection and statistics and alarm command to output module 5, and described output module 5 shows described detection and statistics, and responds described alarm command, sends alerting signal.
Described video monitoring modular 3 can further comprise receive and handle described digital signal have a detecting device 31, it is electrically connected with video conversion module 2, the employing mixed Gaussian is handled the target in the described digital signal, obtain coordinate, the barycenter of target, and the length parameter of target, and compare with corresponding target component in the previous frame, with identification and tracking objects in video.
Exist detecting device 31 to be the nucleus module of this system, can detect the moving target in the video, and from this moving target of motion tracking.Its principle is in the range of video of camera 1 detection zone to be set, background gray levels is changed, thereby learn the existence of moving target, and detect the image of all kinds of traffic datas of road, improper traffic events etc. with this.Its work is divided into two steps: detect moving target and pursuit movement target.When existing detecting device 31 gray-value variation to detect moving target in the video,, can draw the within the vision kinematic parameter of moving target at camera 1 from this moving target of motion tracking.Can carry out count detection and speed detection according to the detection and tracking data of this module, go forward side by side and act so the judgement that detection and foreign matter detect.
The described detecting device 31 that exists goes out moving target according to the change-detection of gray-scale value in the video image, owing to can have a plurality of moving targets simultaneously in the video image, so need simultaneously a plurality of moving targets to be followed the tracks of detection, just can obtain its movable information, so can carry out modeling to described moving target by mixed Gauss model, so that extract and detect a plurality of moving targets simultaneously.Its algorithmic procedure is as follows: (1) sets up K Gauss model for each pixel in the image, and K is the moving target number; (2) by analysis, determine that a pixel value is to belong to background or foreground target, make model can overcome disturbing factor in the environment, shake, ripple as leaf etc. the weights of K model; (3) model initialization when reading first two field picture, is adopted the average of the value of current pixel point as first model, then established standards difference and weights; (4) model modification.Read in the next frame image, and parameters such as the standard deviation of K model of the value of the pixel of this frame correspondence and former frame and weights are compared, find mutually the model of coupling, and to model is upgraded.
Exist detecting device 31 by after the above-mentioned steps extraction and detecting a plurality of moving targets, moving target in each frame is adopted a plurality of parameters of all moving targets of MeanShift algorithm computation, coordinate such as moving target, the centroid position parameter, the length of moving target etc., then a plurality of parameters of each moving target of existing in a plurality of parameters of all pieces of current existence and the former frame are carried out corresponding coupling, find the corresponding relation of the moving target between the successive frame, realize that the movable information of moving target detects.
Described count detector 32 is according to the tracking testing result that has detecting device 31, the moving target that constantly occurs in the video pictures is counted, when this system applies during,, can adopt this easy counting mode because the travel direction of automobile is constant substantially in traffic system.
Speed detector 33, owing to can learn the field range of camera in advance, so can be by the speed of moving target through the Time Calculation moving target in the video visual field.
Accident detecting device 34, the data that calculate by described count detector 32 and speed detector 33, carry out logical combination, calculate the traffic parameters such as flow of average velocity, occupation rate and the moving target of moving target in the monitoring video visual field, when one of them exceeds preset value, send alerting signal by output module 5, make traffic behavior in time be discovered and get rid of.
Change very little such as the count value that detects when count detector 32 in a period of time, and the moving target model K number in the same video pictures is a lot, surpass the first monitoring value that the user sets, and the speed of the moving target that speed detector 33 calculates is very little, surpass the second monitoring value that the user sets, then can extrapolate by logical combination the traffic congestion incident has taken place in this range of video, accident detecting device 34 sends alarm command to output module 5, and output module 5 sends corresponding traffic congestion alerting signal.Change in the scope that the user sets such as the count value that detects when count detector 32 in a period of time, but some moving target model K is in the video pictures for a long time, and the position coordinates of model is constant, then can extrapolate in this range of video vehicle trouble may take place by logical combination, or foreign matter appearred, accident detecting device 34 sends alarm command to output module 5, and output module 5 sends corresponding fault or foreign matter alerting signal.
Too fast when detecting velocity to moving target by speed detector 33, when surpassing the 3rd monitoring value of user's setting, accident detecting device 34 will be judged overspeed of vehicle, send the alarm command of hypervelocity to output module 5; When moving target stops suddenly or during the unexpected acute variation of direction of motion of following the tracks of, accident detecting device 34 sends the alarm command that traffic hazard occurs to output module 5.
These alarm commands can make the transportation work personnel find the traffic abnormity situation in time, and correspondingly handle, in time to resume traffic.
Owing to may occur goods that drops from vehicle or the foreign matters such as stone that tumble from the roadside on the road, because the Flame Image Process of these situations and algorithmic procedure are comparatively complicated, processing needs the regular hour, and the car speed on the road is generally very fast, may influence the statistics of normal traffic data, so native system can further comprise the foreign matter detecting device 35 that is used to detect foreign matter in the video visual field, by the aforesaid detecting device 31 that exists, count detector 32, the detection data of speed detector 33, and accident detecting device 34 is when being judged as abnormal conditions such as fault or foreign matter, this module is under the work that does not influence aforesaid detector, further analyze the volume and the speed of moving target, and the parameters such as coordinate that occur, these abnormal conditions are further judged, so that judge occur in the video unusual accurately, when the volume of moving target is consistent with the foreign matter parameter preset of user's setting with speed, send alerting signal by output module 5.Such as may being the article that drop on the vehicle or dish out by the new moving target of peeling off out in a certain moving object, or by pedestrian who gets off on the vehicle etc.
Described intelligent video diagnosis supervisory system also can further comprise server 4, and the one end is electrically connected with video monitoring modular 3, and the other end is electrically connected with output module 5, is used to store the video information of described camera 1, detected parameters and result.Server 3 can be equipped with Ethernet card, so that communicate with central monitor system, and exchange warning message, unloading alert files etc.
This system can be used for highway communication, is particularly useful for the video monitoring of highway.The user in time checks the Video Detection result in several ways for convenience, described output module 5 comprises display module 51, be used for showing in real time current testing result, can connect the giant-screen that testing result is sent to the monitoring hall, or send to the variable information board on road surface by network.Output module 5 also can further comprise alarm module 52, is used for the abnormal conditions that detect are sent prompting message, and the staff is in time found and processing.Output module 5 also can comprise statistical module 53, is used for adding up the testing result of video monitoring modular, so that observe the traffic statistics situation that detects the highway section.Output module 5 also can comprise transport module 54, and video information and detection statistics result by the Network Transmission camera collection make things convenient for the user to check.
Described system also can further comprise be electrically connected with described each module module 6 is set, by this module, the user can import described preset value and parameter preset; Also can be used for being provided with the working method or the running parameter of a module.Described system can further comprise the user management module 7 that is electrically connected with described each module, is used to detect user's copyright, so that the function of open each module makes the user of different rights use different functions.
The utility model can accurately be added up the road traffic data, and the traffic conditions of monitor road is in time grasped the road operation situation effectively, finds and handle traffic hazard, reduces various influences to road traffic such as accident, traffic hazard.When the volume of traffic reaches capacity, also can be to traffic flow channeling conduct and control, to improve the road net traffic capacity.Can be by this system by from video monitoring image, extracting the useful information of traffic monitoring and control, with other information fusion, for event detection, accident rescue, traffic control etc. provide effective foundation.
Claims (8)
1. intelligent video event detection system is characterized in that: described system comprises electrical connection: camera is used to receive video information to be detected;
Video conversion module is electrically connected with described camera, and the video information that is used for receiving is converted to specific digital signal;
The video monitoring modular, the one end is electrically connected with video conversion module, the other end is electrically connected with output module, it has the accident detecting device, by described accident detecting device, detect and add up average velocity, occupation rate, the moving target flow parameter of moving target in the camera video visual field, when one of them exceeds the user preset value, send alarm command;
Output module is electrically connected with described video monitoring modular, is used to show and export the detection and the statistics of described video monitoring modular, and receives alarm command, and sends alerting signal;
Described camera collection video information, and the video information of gathering passed to video conversion module,
Described video conversion module passes to the video monitoring modular after the video information that receives is converted into specific digital signal, after described video monitoring modular carries out Flame Image Process to video information, by described accident detecting device described parameter is detected and adds up, and will detect and statistics be sent to output module; When described parameter surpassed the user preset value, described accident detecting device sent detection and statistics and alarm command to output module, and described output module shows described detection and statistics, and responds described alarm command, sends alerting signal.
2. intelligent video event detection system as claimed in claim 1, it is characterized in that: described video monitoring modular further comprises the detecting device that exists that receives and handle described digital signal, it is electrically connected with video conversion module, the employing mixed Gaussian is handled the target in the described digital signal, obtain coordinate, the barycenter of target, and the length parameter of target, and compare with corresponding target component in the previous frame, with identification and tracking objects in video.
3. intelligent video event detection system as claimed in claim 1 is characterized in that: described video monitoring modular further comprises the count detector that the moving target in the described camera visual field is counted, and is used to realize the traffic statistics of moving target.
4. intelligent video event detection system as claimed in claim 1 is characterized in that: described video monitoring modular further comprises the speed detector that calculates velocity to moving target by the run duration of statistics moving target.
5. as the described intelligent video event detection system of claim 1-4, it is characterized in that: described video monitoring modular further comprises the foreign matter detecting device that is used to detect foreign matter in the video visual field, when the volume of moving target is consistent with the foreign matter parameter preset of user's setting with speed, send alerting signal by output module.
6. intelligent video event detection system as claimed in claim 1 is characterized in that: described output module further comprises:
Display module shows current testing result in real time;
Alarm module sends prompting message to abnormal conditions;
Transport module is used for the video information and the testing result that send or receive by Network Transmission.
7. intelligent video event detection system as claimed in claim 1, it is characterized in that: described system further comprises server, and the one end is electrically connected with the video monitoring modular, and the other end is electrically connected with output module, be used to store the video information of described camera, detected parameters and result.
8. intelligent video event detection system as claimed in claim 1 is characterized in that: described system further comprises the module that is provided with that is electrically connected with described each module, and by the described module that is provided with, the user imports described preset value and parameter preset.
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Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN103150899A (en) * | 2013-02-01 | 2013-06-12 | 北京北智天成科技发展有限公司 | Method, device and system for monitoring road traffic information |
| CN103295396A (en) * | 2013-04-19 | 2013-09-11 | 福建工程学院 | Method and system for speedy ex-situ evidence collection of traffic accident |
| CN104123815A (en) * | 2014-08-08 | 2014-10-29 | 浙江高速信息工程技术有限公司 | Self-starting emergency rescue fast handling system for expressway |
| CN105118141A (en) * | 2015-09-02 | 2015-12-02 | 昆山古鳌电子机械有限公司 | Banknote authenticity identification apparatus |
| CN105469612A (en) * | 2016-01-22 | 2016-04-06 | 大连楼兰科技股份有限公司 | Traffic jam alarming system and traffic jam alarming method |
| CN106210636A (en) * | 2016-07-18 | 2016-12-07 | 四川君逸数码科技股份有限公司 | Wisdom gold eyeball people based on intelligent video technology and thing Activity recognition instrument |
| CN106851132A (en) * | 2017-01-20 | 2017-06-13 | 安徽达尔智能控制***股份有限公司 | Traffic accident intelligent checking system |
| CN106991819A (en) * | 2017-05-27 | 2017-07-28 | 深圳市乃斯网络科技有限公司 | Application process and system of the detection of obstacles in intelligent transportation |
| CN107608261A (en) * | 2017-08-29 | 2018-01-19 | 南京三宝科技股份有限公司 | Intelligent monitoring system and its monitoring and managing method |
| CN108734959A (en) * | 2018-04-28 | 2018-11-02 | 扬州远铭光电有限公司 | A kind of embedded vision train flow analysis method and system |
| CN108881831A (en) * | 2018-06-25 | 2018-11-23 | 合肥迪鑫信息科技有限公司 | A kind of Internet surveillance system |
| WO2019079965A1 (en) * | 2017-10-24 | 2019-05-02 | 江西省高速公路投资集团有限责任公司 | Rapid detection system and method for article dropped on road |
| CN111627222A (en) * | 2020-05-12 | 2020-09-04 | 浙江工贸职业技术学院 | Expressway secondary traffic accident early warning device and method |
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- 2010-12-14 CN CN2010206603368U patent/CN202042052U/en not_active Expired - Fee Related
Cited By (15)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN103150899A (en) * | 2013-02-01 | 2013-06-12 | 北京北智天成科技发展有限公司 | Method, device and system for monitoring road traffic information |
| CN103150899B (en) * | 2013-02-01 | 2016-06-15 | 北京北智天成科技发展有限公司 | The monitoring method of Traffic Information, Apparatus and system |
| CN103295396B (en) * | 2013-04-19 | 2015-11-04 | 福建工程学院 | Speedy ex-situ evidence collection of traffic accident method and system |
| CN103295396A (en) * | 2013-04-19 | 2013-09-11 | 福建工程学院 | Method and system for speedy ex-situ evidence collection of traffic accident |
| CN104123815A (en) * | 2014-08-08 | 2014-10-29 | 浙江高速信息工程技术有限公司 | Self-starting emergency rescue fast handling system for expressway |
| CN105118141A (en) * | 2015-09-02 | 2015-12-02 | 昆山古鳌电子机械有限公司 | Banknote authenticity identification apparatus |
| CN105469612A (en) * | 2016-01-22 | 2016-04-06 | 大连楼兰科技股份有限公司 | Traffic jam alarming system and traffic jam alarming method |
| CN106210636A (en) * | 2016-07-18 | 2016-12-07 | 四川君逸数码科技股份有限公司 | Wisdom gold eyeball people based on intelligent video technology and thing Activity recognition instrument |
| CN106851132A (en) * | 2017-01-20 | 2017-06-13 | 安徽达尔智能控制***股份有限公司 | Traffic accident intelligent checking system |
| CN106991819A (en) * | 2017-05-27 | 2017-07-28 | 深圳市乃斯网络科技有限公司 | Application process and system of the detection of obstacles in intelligent transportation |
| CN107608261A (en) * | 2017-08-29 | 2018-01-19 | 南京三宝科技股份有限公司 | Intelligent monitoring system and its monitoring and managing method |
| WO2019079965A1 (en) * | 2017-10-24 | 2019-05-02 | 江西省高速公路投资集团有限责任公司 | Rapid detection system and method for article dropped on road |
| CN108734959A (en) * | 2018-04-28 | 2018-11-02 | 扬州远铭光电有限公司 | A kind of embedded vision train flow analysis method and system |
| CN108881831A (en) * | 2018-06-25 | 2018-11-23 | 合肥迪鑫信息科技有限公司 | A kind of Internet surveillance system |
| CN111627222A (en) * | 2020-05-12 | 2020-09-04 | 浙江工贸职业技术学院 | Expressway secondary traffic accident early warning device and method |
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