All-weather urban vehicle tracking and counting method based on video monitoring

A technology of vehicle tracking and counting method, which is applied to the traffic control system, calculation, traffic control system and other directions of road vehicles, can solve the problems of tracking and counting of vehicles such as red lights, and achieves solutions to poor vehicle tracking and counting, and improves stability and robustness. Robustness, the effect of improving counting accuracy
CN102385803AActive Publication Date: 2012-03-21深兰自动驾驶研究院(山东)有限公司
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
深兰自动驾驶研究院(山东)有限公司
Publication Date
2012-03-21

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Abstract

The invention discloses an all-weather urban vehicle tracking and counting method based on video monitoring. Two methods are respectively adopted after the current time interval is judged to be daytime or night; according to the technical scheme for daytime, a background removing method is used for extracting a foreground target of a vehicle and then whether a tracking method or a virtual detection line method is used for counting is judged according to congestion condition of the current road condition; and according to the technical scheme for night, a virtual detection line and a detectionregion are set firstly, then binarization processing is carried out on the current frame to extract car lamps, whether car lamps pass by is judged by scanning the detection line and counting is carried out. The method disclosed by the invention is applicable to all-weather traffic video monitoring, accurate tracking and reliable counting can be effectively carried out on the vehicles, and stability and robustness of traffic video analysis are improved.
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Description

technical field

[0001] The invention belongs to the field of intelligent traffic video monitoring, in particular to an all-weather urban video vehicle tracking and counting algorithm. Background technique

[0002] In recent years, with the increase of people's vehicle ownership rate, Intelligent Transportation System (ITS) has occupied the most important position in many methods of improving transportation capacity, and has increasingly attracted the attention of researchers. Considering the requirements of the future development trend of transportation management, online monitoring and more detailed information collection in the traffic environment, image analysis and computer vision technology are quickly applied to traffic video analysis, in order to achieve such as vehicle volume statistics, thus Carry out functions such as congestion detection and traffic accident detection. Therefore, proposing a set of robust, real-time algorithms to process a series of traffic video...

Claims

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