CN101105892A - Vehicle traffic accident automatic detection method - Google Patents

Vehicle traffic accident automatic detection method Download PDF

Info

Publication number
CN101105892A
CN101105892A CNA2007100754583A CN200710075458A CN101105892A CN 101105892 A CN101105892 A CN 101105892A CN A2007100754583 A CNA2007100754583 A CN A2007100754583A CN 200710075458 A CN200710075458 A CN 200710075458A CN 101105892 A CN101105892 A CN 101105892A
Authority
CN
China
Prior art keywords
accident
electronic eyes
video
automatically
monitoring server
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.)
Pending
Application number
CNA2007100754583A
Other languages
Chinese (zh)
Inventor
赵忠华
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shenzhen Rongchuang Tianxia Technology Development Co., Ltd.
Original Assignee
SHENZHEN RONGHE VISION TECHNOLOGY Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by SHENZHEN RONGHE VISION TECHNOLOGY Co Ltd filed Critical SHENZHEN RONGHE VISION TECHNOLOGY Co Ltd
Priority to CNA2007100754583A priority Critical patent/CN101105892A/en
Publication of CN101105892A publication Critical patent/CN101105892A/en
Pending legal-status Critical Current

Links

Landscapes

  • Traffic Control Systems (AREA)
  • Closed-Circuit Television Systems (AREA)

Abstract

The invention discloses a method for checking traffic accidents automatically through road site video, and includes the following steps: 1) install electronic eyes at black spots; 2) transmit video images shot by electronic eyes to a monitor server; 3) the monitor server makes continuous analysis of the video images. If the moving subjects in the video images stop suddenly and keep still for a while, the subjects are assumed to encounter traffic accidents. The invention will automatically trigger the server to give alarm to the alarm center, and record the process and site of the traffic accidents automatically. The technical proposal of the invention can realize automatic analysis of traffic accidents through electronic eyes, discovering and processing traffic accidents as early as possible to lower the loss of people involved and the stability of the society with low construction and operation costs.

Description

A kind of automatic testing method of vehicle traffic accident
Technical field
The present invention relates to the video monitoring technical applications, especially relates to a kind of automatic testing method of taking the vehicle traffic accident that the road video monitoring information carries out by electronic eyes.
Background technology
The vehicle of each big and medium-sized cities of modern society is more and more, and increasing Getting Started causes traffic hazard to take place again and again, has manyly in addition crossed the vehicles of scrapping the time limit, or vehicle in spite of illness sets out on a journey, and hidden danger also causes the accident.After having an accident, generally be that the accident litigant reports to the police or the eyewitness reports to the police and seeks help, if but also accident is serious sometimes, and injured can't the warning of litigant sought help, and also do not have just may delay the timely processing of accident under the situation that the eyewitness reports to the police.Also sometimes,, be difficult to the responsibility of judgement accident, the process that also needs the understanding accident to take place only with the scene of accident.Though many electronic eyess also have video capture function, but the general person mechanically takes, the full content of taking need be preserved, take very big storage space, and the reference after can only taking place as accident, must determine the correct time that accident takes place, the video segment in the time of could finding accident to take place by artificial browsing mode.Not only searching work wastes time and energy, and does not also have initiatively warning function when accident takes place.Nowadays building intelligent transportation is a megatrend of a traffic management informationization, the video capture effect structure traffic hazard processing in time that makes full use of electronic eyes is to improve the intelligentized important means of traffic administration, but present electronic eyes still rests on simple shooting functional plane, how to allow electronic eyes combine with computer technology, intelligentized automatic judgement is carried out in the traffic hazard that takes place, and is the sector application problem of urgency video science and technology to be solved.
Summary of the invention
The present invention provides a kind of automatic testing method that passes through the vehicle traffic accident of road live video for solving the automatic discriminatory analysis problem of road traffic accident, and this method comprises the steps:
Step 1: in the black spot electronic eyes is installed, is made the coverage of electronic eyes cover above-mentioned monitor area, each electronic eyes is numbered, and electronic eyes is inserted monitor network;
Step 2: start electronic eyes above-mentioned monitor area is taken, and the video image of taking is sent in real time the monitoring server of monitor network;
Step 3: monitoring server is analyzed continuously to above-mentioned video image, measure the relative movement speed of mobile object in the video image, more than one object stops in moving fast in the video image if detect, and the static duration surpass certain-length, then static object is inferred to be the accident of having taken place.If monitoring server has detected accident and has taken place, connect the accident alarming center automatically, send alerting signal and detect the video segment of accident object to alarm center.
Above-mentioned specific mobile object in the present invention has certain range of size, this is of a size of the relative size in the video pictures, the size here mainly is meant the size of motor vehicle, the range of size different according to mobile object, can judge the type of the object that has an accident automatically, as what have an accident is truck, or car, or from motor-car etc.If traffic hazard generally is meant the automatic analysis of the bigger accident of motor vehicle, can the mobile object here in, get rid of collisions such as pure pedestrian, bicycle do not constitute truly traffic hazard than small object.
The main presentation of judging traffic hazard is exactly on the non-parking highway section of road, and the vehicle in travelling is suddenly improper to be stopped rapidly, and the time span that stops to surpass certain limit.
Monitoring server is preserved the road video segment of the electronic eyes shooting in certain hour cycle temporarily, if should not detect the accident generation by monitoring server in the cycle, then remove the interim road video segment of preserving automatically, and restart the interim new video segment of preserving, if the accident that detected takes place, then the video segment that has an accident is saved as a video file automatically.Can realize the circulation shooting like this, will not have the video that accident takes place to remove automatically, the effective video picture recording when a preservation accident takes place is saved the storage resource, and the retrieve video data is also very convenient.
Above-mentioned method also has certain defective, if a last shooting cycle just finishes, accident has taken place when beginning the shooting of new one-period behind the monitoring server video segment that deletion has just been taken automatically, then monitoring server only photographs the scene after accident takes place, and can't preceding important clue take place the reservation accident.In order to overcome this defective, monitoring server is preserved the road video segment of the electronic eyes shooting in certain hour cycle temporarily, if should not detect the accident generation by monitoring server in the cycle, then with the automatic covering of the new video fragment video segment of last one-period; If the accident that detected takes place, then the unmasked portion video back that the video segment in this cycle is merged in the last cycle period automatically saves as an accident video file.
Further improvement in the technical proposal is: on the above-mentioned electronic eyes The Cloud Terrace is arranged, can rotate within the specific limits, and electronic focusing lens are arranged on the electronic eyes, when monitoring server has detected the traffic hazard generation, send steering order from trend electronic eyes The Cloud Terrace, make electronic eyes The Cloud Terrace aligning accident object, and regulate lens focus automatically, the scene of the accident is taken.
Further improvement in the technical proposal is: the infrared emission diode is arranged on the above-mentioned electronic eyes, can send infrared light, can monitor the highway section at night.The infrared exoelectron eye has automatic transfer switch, can automatically switch between visible light shooting and infrared light shooting.Described automatic transfer switch is a light activated switch, can change the automatic transfer switch state according to the luminous ray of floor, when on-the-spot luminous ray brightness is reduced to certain limit, automatically start infrared shooting, when certain limit is brought up in on-the-spot luminous ray brightness, automatically close infrared shooting, start visible light and take.
Further improvement in the technical proposal is: can also install monitoring device and broadcaster additional on the electronic eyes, when being monitored, road condition can also collect from road surface on-the-spot voice information, and the acoustic information of on-site monitoring is sent to monitoring server handle, alarm center can also be talked to the field staff when the processing accident, commands.
The present invention can bring following beneficial effect:
After the road area that need monitor the black spot is installed electronic eyes, just the automatic analysis and judgment of road traffic accident can have been realized.Because the main traffic highway section of at present many big and medium-sized cities, especially the phenomenon that electronic eyes is installed at place, traffic lights crossroad spreads all over very much, and many cities have started large-scale electronic eyes erection schedule, just can directly utilize existing electronic eyes resource to realize the automated analysis of traffic hazard, by very low construction cost and operation cost, can realize that traffic hazard finds as early as possible, handle as early as possible, to reduce litigant's loss, maintain social stability.
Figure of description
No accompanying drawing.
Embodiment
Understand and enforcement the present invention for the ease of those of ordinary skills, the present invention is described in further detail below in conjunction with embodiment.
Certain location, A Greater is the traffic main artery, north and south, and there is certain slope on the road surface, and the vehicular traffic speed of a motor vehicle is higher, is the black spot, especially runs into sleety weather, and the traffic hazard incidence is high especially.Because many accidents are due to the driver exeeds the regulation speed, overloads, have an accident the many drivers in back would rather under solve privately, also be reluctant to report to the police.Therefore given some collision party opportunities, they deliberately select have the vehicle of obviously disobeying barrier artificially to make the collision illusion, extort the driver then.Many drivers also are to report to the police these taking place afterwards, are forced to submit.In order to address this problem, electronic eyes has been installed in this highway section by vehicle supervision department, be provided with monitoring server in traffic hazard warning processing enter, distribute a numbering to electronic eyes, electronic eyes is set up permanent the connection with monitoring server by cable television network, electronic eyes sends to monitoring server in real time with the road live video of taking, monitoring server is analyzed automatically to the image in the above-mentioned video, mainly be to detect the vehicle that travels in the video whether the motionless phenomenon of stopping is suddenly arranged, and whether the time that continues to stop to surpass certain limit, as 180 seconds, then monitoring server thought that accident has taken place the vehicle on the picture.In a single day monitoring server has detected accident and has taken place, and connects the accident alarming center automatically, sends alerting signal and detects the video segment of accident object to alarm center.The personnel of receiving a crime report of alarm center can directly connect the electronic eyes at the scene of the accident of detecting, and field accident is reaffirmed, and in time made a response, and handle as going before the arrangement personnel.
In above-mentioned traffic accident analysis, monitoring server can also be judged the type of vehicle automatically according to the size of the vehicle that has an accident, as what have an accident is truck, or car, or from motor-car etc.As length surpass 5 meters be large car, 3 to 5 meters be middle-size and small-size car, below 3 meters is minicar or bicycle.If traffic hazard generally is meant the automatic analysis of the bigger accident of motor vehicle, can the mobile object here in, get rid of collisions such as pure pedestrian, bicycle do not constitute truly traffic hazard than small object, as length below 2 meters.Here be of a size of the physical size of moving target on the road, at video pictures, passed through a certain proportion of dwindling, dwindle as ratio in 500: 1, then monitoring server is when analyzing the length of mobile object, above-mentioned size was dwindled by 500: 1, and the relative size when being 3 meters as the length of actual vehicle on video pictures is 0.6cm.
General electronic eyes is omnidistance video recording to the video of taking, in traffic accident analysis of the present invention, the method of this omnidistance video recording is also improper, whether here the target of capture video is for the road pavement vehicle carries out real-time analysis, have accident to take place, if there is not accident to take place, just there has not been necessity of video recording, the accident of having only generation, Video Document just can be used as the clue of analyzing culprit, and be therefore just passable as long as preserve the video segment that has an accident.In general, in the process of whole capture video, the time that has an accident only accounts for a very little part, as an accident took place in the week, the effective video video time that has an accident is about half an hour most, then to the road video of electronic eyes in the continuous week of taking, it is just passable only need to keep halfhour video segment, and ratio is about 0.3%.Therefore can come record by the method for circulation video recording, as per half an hour be one-period, save as temporary file, during the end cycle of half an hour from employing the video that new video begins to cover one-period, if current video has detected accident and taken place in the cycle, then the unmasked portion video back that the video segment in this cycle is merged in the last cycle period automatically saves as an accident video file.Take place as the accident that when analyzing the 20th minute, detected of monitoring server the one-period video of electronic eyes shooting, then save as an accident file after the unlapped 10 minutes videos that merged to last one-period in 20 minutes with this cycle, here, the unlapped 10 minutes videographs of last one-period be important clue before accident takes place, whole process as car to car impact, more valuable, because monitoring server has detected accident automatically when taking place, record can only be scene after accident has taken place thereafter.
For accident being carried out remote analysis judgement more accurately, on the above-mentioned electronic eyes The Cloud Terrace is arranged, can rotate within the specific limits, and electronic focusing lens are arranged on the electronic eyes, when monitoring server has detected the traffic hazard generation, send steering order from trend electronic eyes The Cloud Terrace, make electronic eyes The Cloud Terrace aligning accident object, and regulate lens focus automatically, the scene of the accident is taken.Here also can be to the adjusting of electronic eyes state by manually carrying out, when the personnel of receiving a crime report at traffic alarming center receive the automatic warning of monitoring server, can directly connect the electronic eyes of the scene of the accident with the computer of alarm center, and the shooting direction and the focal length of adjusting electronics joint, reach position preferably, can observe accident vehicle and on-the-spot overall picture more careful, so that make corresponding processing.
In order to take at night, on the above-mentioned electronic eyes infrared emission diode can be installed, the infrared exoelectron eye of making can send infrared light, can monitor the highway section at night.The infrared exoelectron eye has automatic transfer switch, can automatically switch between visible light shooting and infrared light shooting.The automatic transfer switch of stating is a light activated switch, can change the automatic transfer switch state according to the luminous ray of floor, when on-the-spot luminous ray brightness is reduced to certain limit, automatically start infrared shooting, when certain limit is brought up in on-the-spot luminous ray brightness, automatically close infrared shooting, start visible light and take.
Electronic eyes can only be realized the shooting to pure video, sometimes when detecting and handle traffic hazard, also need to understand on-the-spot voice information, therefore on electronic eyes, can also install monitoring device and broadcaster additional, when being monitored, road condition can also collect from road surface on-the-spot voice information, and the acoustic information of on-site monitoring is sent to monitoring server handle, can collect in the traffic hazard more detailed data, as litigant's speech when having an accident, the abnormal sound of vehicle etc.Alarm center can also be talked to the field staff when the processing accident, exchanges with the field staff, and commands.

Claims (10)

1. the automatic testing method by the vehicle traffic accident of road live video is characterized in that this method comprises the steps:
Step 1: in the black spot electronic eyes is installed, is made the coverage of electronic eyes cover above-mentioned monitor area, each electronic eyes is numbered, and electronic eyes is inserted monitor network;
Step 2: start electronic eyes above-mentioned monitor area is taken, and the video image of taking is sent in real time the monitoring server of monitor network;
Step 3: monitoring server is analyzed continuously to above-mentioned video image, measure the relative movement speed of mobile object in the video image, more than one object stops in moving fast in the video image if detect, and the static duration surpass certain-length, then static object is inferred to be the accident of having taken place.
2. the automatic testing method of vehicle traffic accident according to claim 1, it is characterized in that, has certain range of size at the specific mobile object described in the step 3, this is of a size of the relative size in the video pictures, the range of size different according to mobile object can be judged the type of the object that has an accident automatically.
3. the automatic testing method of vehicle traffic accident according to claim 1, it is characterized in that, if monitoring server has detected accident and has taken place, connect the accident alarming center automatically, send alerting signal and detect the video segment of accident object to alarm center.
4. the automatic testing method of vehicle traffic accident according to claim 1, it is characterized in that, monitoring server is preserved the road video segment of the electronic eyes shooting in certain hour cycle temporarily, if should not detect the accident generation by monitoring server in the cycle, then remove the interim road video segment of preserving automatically, and restart the new video segment of interim preservation, if the accident that detected takes place, then the video segment that has an accident is saved as a video file automatically.
5. the automatic testing method of vehicle traffic accident according to claim 1, it is characterized in that, monitoring server is preserved the road video segment of the electronic eyes shooting in certain hour cycle temporarily, if should not detect the accident generation by monitoring server in the cycle, then covered the video segment of last one-period automatically with the new video fragment; If the accident that detected takes place, then the unmasked portion video back that the video segment in this cycle is merged in the last cycle period automatically saves as an accident video file.
6. the automatic testing method of vehicle traffic accident according to claim 1, it is characterized in that on the described electronic eyes The Cloud Terrace being arranged, can rotate within the specific limits, and electronic focusing lens are arranged on the electronic eyes, when monitoring server has detected the traffic hazard generation, send steering order from trend electronic eyes The Cloud Terrace, make electronic eyes The Cloud Terrace aligning accident object, and regulate lens focus automatically, the scene of the accident is taken.
7. the automatic testing method of vehicle traffic accident according to claim 1 is characterized in that the infrared emission diode is arranged on the described electronic eyes, can send infrared light, can monitor the highway section at night.
8. the automatic testing method of vehicle traffic accident according to claim 7 is characterized in that described infrared exoelectron eye has automatic transfer switch, can automatically switch between visible light shooting and infrared light shooting.
9. the automatic testing method of vehicle traffic accident according to claim 8, it is characterized in that described automatic transfer switch is a light activated switch, can change the automatic transfer switch state according to the luminous ray of floor, when on-the-spot luminous ray brightness is reduced to certain limit, automatically start infrared shooting, when certain limit is brought up in on-the-spot luminous ray brightness, close infrared shooting automatically, start visible light and take.
10. the automatic testing method of vehicle traffic accident according to claim 1, it is characterized in that, can also install monitoring device and broadcaster additional on the electronic eyes, when being monitored, road condition can also collect from road surface on-the-spot voice information, and the acoustic information of on-site monitoring is sent to monitoring server handle, alarm center can also be talked to the field staff when the processing accident, commands.
CNA2007100754583A 2007-07-30 2007-07-30 Vehicle traffic accident automatic detection method Pending CN101105892A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CNA2007100754583A CN101105892A (en) 2007-07-30 2007-07-30 Vehicle traffic accident automatic detection method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CNA2007100754583A CN101105892A (en) 2007-07-30 2007-07-30 Vehicle traffic accident automatic detection method

Publications (1)

Publication Number Publication Date
CN101105892A true CN101105892A (en) 2008-01-16

Family

ID=38999775

Family Applications (1)

Application Number Title Priority Date Filing Date
CNA2007100754583A Pending CN101105892A (en) 2007-07-30 2007-07-30 Vehicle traffic accident automatic detection method

Country Status (1)

Country Link
CN (1) CN101105892A (en)

Cited By (44)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102034354A (en) * 2010-11-04 2011-04-27 东南大学 Method for determining influence range of urban road traffic accident based on fixed detector
CN102404559A (en) * 2011-12-27 2012-04-04 浙江省电力公司 Video monitoring system and method
CN101587644B (en) * 2009-06-02 2012-06-06 同济大学 Automatic detection method for traffic accident on urban expressway based on non-continuous sliding sequence
CN102496267A (en) * 2011-12-08 2012-06-13 北京易华录信息技术股份有限公司 Traffic accident alarm system and accident handling method
CN102568190A (en) * 2011-11-18 2012-07-11 厦门市鼎朔信息技术有限公司 System and method for handling traffic accident
CN101848369B (en) * 2009-12-04 2012-10-03 四川川大智胜软件股份有限公司 Method for detecting video stop event based on self-adapting double-background model
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
CN103700250A (en) * 2012-09-28 2014-04-02 姜廷顺 Public security traffic emergency rapid-handling method and system
CN103886755A (en) * 2014-04-04 2014-06-25 姜廷顺 Intersection abnormal parking rapid alarm system and method with red light running picture taking function
CN103888726A (en) * 2014-03-11 2014-06-25 天津市亚安科技股份有限公司 Video monitoring system with light supplementary function and acousto-optical warning function
CN103886753A (en) * 2014-03-31 2014-06-25 姜廷顺 System and method for quickly confirming reasons for abnormal parking at signal lamp control intersection
CN103903442A (en) * 2014-04-08 2014-07-02 姜廷顺 Road junction traffic signal controller capable of fast finding abnormal parking and method
CN103985255A (en) * 2014-06-10 2014-08-13 北京易华录信息技术股份有限公司 System and method for precisely judging abnormal parking on running lane by utilizing radar tracking technology
CN104504903A (en) * 2014-12-31 2015-04-08 北京赛维安讯科技发展有限公司 Traffic incident acquiring device and method and traffic incident monitoring system and method
CN105355039A (en) * 2015-10-23 2016-02-24 张力 Road condition information processing method and equipment
CN105741565A (en) * 2016-04-21 2016-07-06 正元地理信息有限责任公司 Method for automatic determining accident and giving off alarm based on monitoring video
CN106097719A (en) * 2016-08-30 2016-11-09 张森晖 Interconnection information sharing promptness preventing road monitoring system
CN106303439A (en) * 2016-08-26 2017-01-04 安徽云图信息技术有限公司 Automatically turn on the supervising device of closedown
CN106530835A (en) * 2017-01-09 2017-03-22 山东轻工职业学院 Road-sharp-corner-crossing smooth-traffic intelligence dispersion apparatus and method thereof
CN106710259A (en) * 2017-02-18 2017-05-24 山东交通学院 Lane occupancy rate warning method
CN106781458A (en) * 2016-11-30 2017-05-31 成都通甲优博科技有限责任公司 A kind of traffic accident monitoring method and system
CN106846847A (en) * 2017-02-18 2017-06-13 山东交通学院 A kind of lane occupancy alarming device
CN107241552A (en) * 2017-06-30 2017-10-10 广东欧珀移动通信有限公司 A kind of image acquiring method, device, storage medium and terminal
CN107886734A (en) * 2017-12-07 2018-04-06 苏州诚满信息技术有限公司 A kind of intelligent cross-line detection method and its system for road traffic
CN108711202A (en) * 2018-08-06 2018-10-26 何沙沙 A kind of Traffic Accident Rescue System based on big data
CN108737741A (en) * 2017-12-21 2018-11-02 西安工业大学 A kind of auto Anti-Blooming system of night Computer Vision
CN108961768A (en) * 2018-07-30 2018-12-07 鄂尔多斯市普渡科技有限公司 The unmanned police cruiser of one kind and patrol method
CN109243181A (en) * 2018-09-21 2019-01-18 深圳市轱辘汽车维修技术有限公司 Traffic accident method for early warning, device, terminal device and storage medium
CN109727489A (en) * 2018-12-27 2019-05-07 杭州桐森信息技术有限公司 A kind of tunnel accident warning system and alarming method for power
CN109841061A (en) * 2019-01-24 2019-06-04 浙江大华技术股份有限公司 A kind of traffic accident treatment method, apparatus, system and storage medium
WO2019137385A1 (en) * 2018-01-10 2019-07-18 合肥师范学院 Traffic monitoring apparatus capable of switching camera mode
CN110139080A (en) * 2019-06-14 2019-08-16 杭州电子科技大学 Long-range small vector high-definition image obtains and the method for identification type
CN110139073A (en) * 2019-05-10 2019-08-16 浙江大华技术股份有限公司 Automobile video frequency monitoring data sending method, device and computer equipment
CN110278413A (en) * 2019-06-28 2019-09-24 Oppo广东移动通信有限公司 Image processing method, device, server and storage medium
CN110415530A (en) * 2019-06-10 2019-11-05 许超贤 A kind of intelligent internet traffic control system method
CN110619747A (en) * 2019-09-27 2019-12-27 山东奥邦交通设施工程有限公司 Intelligent monitoring method and system for highway road
CN110942623A (en) * 2018-09-21 2020-03-31 阿里巴巴集团控股有限公司 Auxiliary traffic accident handling method and system
CN111369807A (en) * 2020-03-24 2020-07-03 北京百度网讯科技有限公司 Traffic accident detection method, device, equipment and medium
CN112528715A (en) * 2019-09-19 2021-03-19 杭州海康微影传感科技有限公司 Ship monitoring method, device and equipment and storage medium
CN113034915A (en) * 2021-03-29 2021-06-25 北京卓视智通科技有限责任公司 Double-spectrum traffic incident detection method and device
CN113345235A (en) * 2021-06-07 2021-09-03 恒明星光智慧文化科技(深圳)有限公司 Road intelligence emergency treatment device, sculpture, wisdom street lamp
WO2022105517A1 (en) * 2020-11-20 2022-05-27 Zhejiang Dahua Technology Co., Ltd. Systems and methods for detecting traffic accidents
CN115019532A (en) * 2022-04-21 2022-09-06 东北林业大学 Automatic identification and early warning system for potential safety hazards of roads based on passenger traffic data
CN117238143A (en) * 2023-09-15 2023-12-15 北京卓视智通科技有限责任公司 Traffic data fusion method, system and device based on radar double-spectrum camera

Cited By (56)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101587644B (en) * 2009-06-02 2012-06-06 同济大学 Automatic detection method for traffic accident on urban expressway based on non-continuous sliding sequence
CN101848369B (en) * 2009-12-04 2012-10-03 四川川大智胜软件股份有限公司 Method for detecting video stop event based on self-adapting double-background model
CN102034354B (en) * 2010-11-04 2012-09-19 东南大学 Method for determining influence range of urban road traffic accident based on fixed detector
CN102034354A (en) * 2010-11-04 2011-04-27 东南大学 Method for determining influence range of urban road traffic accident based on fixed detector
CN102568190B (en) * 2011-11-18 2014-03-19 陈飞 System and method for handling traffic accident
CN102568190A (en) * 2011-11-18 2012-07-11 厦门市鼎朔信息技术有限公司 System and method for handling traffic accident
CN102496267A (en) * 2011-12-08 2012-06-13 北京易华录信息技术股份有限公司 Traffic accident alarm system and accident handling method
CN102404559A (en) * 2011-12-27 2012-04-04 浙江省电力公司 Video monitoring system and method
CN103700250A (en) * 2012-09-28 2014-04-02 姜廷顺 Public security traffic emergency rapid-handling 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
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
CN103888726A (en) * 2014-03-11 2014-06-25 天津市亚安科技股份有限公司 Video monitoring system with light supplementary function and acousto-optical warning function
CN103886753A (en) * 2014-03-31 2014-06-25 姜廷顺 System and method for quickly confirming reasons for abnormal parking at signal lamp control intersection
CN103886753B (en) * 2014-03-31 2016-09-21 北京易华录信息技术股份有限公司 A kind of signal lamp control crossroad exception parking reason quickly confirms system and method
CN103886755A (en) * 2014-04-04 2014-06-25 姜廷顺 Intersection abnormal parking rapid alarm system and method with red light running picture taking function
CN103903442B (en) * 2014-04-08 2016-06-22 北京易华录信息技术股份有限公司 A kind of crossing traffic signal controller and method of stopping of can quickly noting abnormalities
CN103903442A (en) * 2014-04-08 2014-07-02 姜廷顺 Road junction traffic signal controller capable of fast finding abnormal parking and method
CN103985255A (en) * 2014-06-10 2014-08-13 北京易华录信息技术股份有限公司 System and method for precisely judging abnormal parking on running lane by utilizing radar tracking technology
CN104504903A (en) * 2014-12-31 2015-04-08 北京赛维安讯科技发展有限公司 Traffic incident acquiring device and method and traffic incident monitoring system and method
CN104504903B (en) * 2014-12-31 2017-07-07 北京赛维安讯科技发展有限公司 Traffic events harvester and method, traffic events monitoring system and method
CN105355039A (en) * 2015-10-23 2016-02-24 张力 Road condition information processing method and equipment
CN105741565A (en) * 2016-04-21 2016-07-06 正元地理信息有限责任公司 Method for automatic determining accident and giving off alarm based on monitoring video
CN106303439A (en) * 2016-08-26 2017-01-04 安徽云图信息技术有限公司 Automatically turn on the supervising device of closedown
CN106097719A (en) * 2016-08-30 2016-11-09 张森晖 Interconnection information sharing promptness preventing road monitoring system
CN106781458A (en) * 2016-11-30 2017-05-31 成都通甲优博科技有限责任公司 A kind of traffic accident monitoring method and system
CN106781458B (en) * 2016-11-30 2019-10-18 成都通甲优博科技有限责任公司 A kind of traffic accident monitoring method and system
CN106530835A (en) * 2017-01-09 2017-03-22 山东轻工职业学院 Road-sharp-corner-crossing smooth-traffic intelligence dispersion apparatus and method thereof
CN106710259A (en) * 2017-02-18 2017-05-24 山东交通学院 Lane occupancy rate warning method
CN106846847A (en) * 2017-02-18 2017-06-13 山东交通学院 A kind of lane occupancy alarming device
CN107241552A (en) * 2017-06-30 2017-10-10 广东欧珀移动通信有限公司 A kind of image acquiring method, device, storage medium and terminal
CN107241552B (en) * 2017-06-30 2020-01-14 Oppo广东移动通信有限公司 Image acquisition method, device, storage medium and terminal
CN107886734A (en) * 2017-12-07 2018-04-06 苏州诚满信息技术有限公司 A kind of intelligent cross-line detection method and its system for road traffic
CN108737741A (en) * 2017-12-21 2018-11-02 西安工业大学 A kind of auto Anti-Blooming system of night Computer Vision
US11412139B2 (en) 2018-01-10 2022-08-09 Hefei Normal University Traffic monitoring device capable of switching camera mode
WO2019137385A1 (en) * 2018-01-10 2019-07-18 合肥师范学院 Traffic monitoring apparatus capable of switching camera mode
CN108961768A (en) * 2018-07-30 2018-12-07 鄂尔多斯市普渡科技有限公司 The unmanned police cruiser of one kind and patrol method
CN108711202A (en) * 2018-08-06 2018-10-26 何沙沙 A kind of Traffic Accident Rescue System based on big data
CN109243181A (en) * 2018-09-21 2019-01-18 深圳市轱辘汽车维修技术有限公司 Traffic accident method for early warning, device, terminal device and storage medium
CN110942623A (en) * 2018-09-21 2020-03-31 阿里巴巴集团控股有限公司 Auxiliary traffic accident handling method and system
CN109727489A (en) * 2018-12-27 2019-05-07 杭州桐森信息技术有限公司 A kind of tunnel accident warning system and alarming method for power
CN109841061A (en) * 2019-01-24 2019-06-04 浙江大华技术股份有限公司 A kind of traffic accident treatment method, apparatus, system and storage medium
CN110139073A (en) * 2019-05-10 2019-08-16 浙江大华技术股份有限公司 Automobile video frequency monitoring data sending method, device and computer equipment
CN110139073B (en) * 2019-05-10 2021-09-21 浙江华锐捷技术有限公司 Vehicle video monitoring data sending method and device and computer equipment
CN110415530A (en) * 2019-06-10 2019-11-05 许超贤 A kind of intelligent internet traffic control system method
CN110139080A (en) * 2019-06-14 2019-08-16 杭州电子科技大学 Long-range small vector high-definition image obtains and the method for identification type
CN110278413A (en) * 2019-06-28 2019-09-24 Oppo广东移动通信有限公司 Image processing method, device, server and storage medium
CN112528715B (en) * 2019-09-19 2024-05-28 杭州海康微影传感科技有限公司 Ship monitoring method, device and equipment and storage medium
CN112528715A (en) * 2019-09-19 2021-03-19 杭州海康微影传感科技有限公司 Ship monitoring method, device and equipment and storage medium
CN110619747A (en) * 2019-09-27 2019-12-27 山东奥邦交通设施工程有限公司 Intelligent monitoring method and system for highway road
CN111369807A (en) * 2020-03-24 2020-07-03 北京百度网讯科技有限公司 Traffic accident detection method, device, equipment and medium
WO2022105517A1 (en) * 2020-11-20 2022-05-27 Zhejiang Dahua Technology Co., Ltd. Systems and methods for detecting traffic accidents
CN113034915A (en) * 2021-03-29 2021-06-25 北京卓视智通科技有限责任公司 Double-spectrum traffic incident detection method and device
CN113345235A (en) * 2021-06-07 2021-09-03 恒明星光智慧文化科技(深圳)有限公司 Road intelligence emergency treatment device, sculpture, wisdom street lamp
CN115019532A (en) * 2022-04-21 2022-09-06 东北林业大学 Automatic identification and early warning system for potential safety hazards of roads based on passenger traffic data
CN117238143A (en) * 2023-09-15 2023-12-15 北京卓视智通科技有限责任公司 Traffic data fusion method, system and device based on radar double-spectrum camera
CN117238143B (en) * 2023-09-15 2024-03-22 北京卓视智通科技有限责任公司 Traffic data fusion method, system and device based on radar double-spectrum camera

Similar Documents

Publication Publication Date Title
CN101105892A (en) Vehicle traffic accident automatic detection method
CN103473926B (en) The interlock road traffic parameter collection of rifle ball and capturing system violating the regulations
CN102945603B (en) Method for detecting traffic event and electronic police device
US7489257B2 (en) Traffic law violation recording and transmitting system
US6466260B1 (en) Traffic surveillance system
CN104332052B (en) Recognition method for automatic capture for pedestrian red light punishment
KR100835085B1 (en) A real time processing system and method of a traffic accident using an unmanned recording device
CN107742422A (en) Road vehicle monitoring system violating the regulations and its method
JP3711518B2 (en) Traffic signal ignoring vehicle automatic recording apparatus and method
CN105185114A (en) Device and method for collecting evidence of vehicle regulation-violating lane changing behavior
CN202584429U (en) Traffic violation monitoring and processing system
US20100149334A1 (en) Fixed and mobile video traffic enforcement
CN112258848A (en) Motor vehicle right-turning pedestrian-unfriendly snapshot and pedestrian crossing warning system
WO2020211691A1 (en) Vehicle monitoring method, apparatus, device and system
CN111754783A (en) Illegal parking warning and snapshot method and system based on cloud computing and artificial intelligence
WO2016113973A1 (en) Traffic violation management system and traffic violation management method
CN106023599A (en) Height and width overlimit law violation snapshot electronic police system and control method thereof
KR20160000556A (en) Real-time traffic information processing system using unattended traffic information recording device
CN114863690A (en) Identification method, device, medium and electronic equipment for solid line lane change
KR100825225B1 (en) System and method for regulating illegally parked vehicle having function of overspeeding vehicle detection and crime prevention
CN105185109A (en) Double-dome-camera-based automatic detection and snapshot apparatus for illegal parking
CN112907979A (en) Motor vehicle illegal driving track tracking system and method based on multiple cameras
CN210271243U (en) Speed measuring bayonet type road intersection safety warning system
CN103824458B (en) Temporary parking caution system based on image recognition technology
KR101372843B1 (en) Traffic regulation system and method for bumper-to-bumper violation detection using stereo

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C41 Transfer of patent application or patent right or utility model
TA01 Transfer of patent application right

Effective date of registration: 20080125

Address after: Nine Guangdong city of Shenzhen province Futian District Shennan Avenue and Tairan junction southeast Jinrun building 407 - 410

Applicant after: Shenzhen Rongchuang Tianxia Technology Development Co., Ltd.

Address before: Room two, phase 615, innovation science and Technology Plaza, Futian District, Guangdong, Shenzhen

Applicant before: Shenzhen Ronghe Vision Technology Co., Ltd.

C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C12 Rejection of a patent application after its publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20080116