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

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.

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...

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is to disclose an all-weather urban video vehicle tracking and counting algorithm, which can realize real-time and accurate counting of road vehicles during the day and night, and can effectively solve the problem of red lights at traffic lights intersections and road conditions during commuting time. The problem of poor vehicle tracking and counting during congestion. At the same time, the invention also improves the vehicle tracking strategy in daytime conditions. Through the above measures, the stability and robustness of the video surveillance system can be better improved, and the counting accuracy of vehicles can be improved.

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