Traffic flow parameter real-time detection method based on traffic monitoring video

Abstract

The invention discloses a traffic flow parameter real-time detection method based on a traffic monitoring video. The method comprises the steps of video pre-calibration: calibrating the type and position of a vehicle; target detection: using pre-calibrated data to train a deep learning model of vehicle target detection based on the SSD; coordinate mapping: solving a mapping relation between a monitoring video image coordinate system and a world coordinate system; vehicle target tracking: tracking vehicle driving in real time by adopting a nucleation correlation filter tracking algorithm in combination with a deep learning model of vehicle target detection; index acquisition and calculation: setting a calibration area timer, acquiring a time index, combining a vehicle target detection result, a tracking result of a vehicle tracking algorithm and a timing result of the timer, and obtaining a real-time detection result of the traffic flow parameters through coordinate mapping conversion.According to the method, the problem of directly obtaining the traffic flow parameters from the traffic monitoring video is solved, and real-time accurate detection of multiple traffic flow parameterscan be completed at a time.

Description

technical field [0001] The invention relates to the technical field of computer vision, in particular to a real-time detection method of traffic flow parameters based on traffic monitoring video. Background technique [0002] Traffic parameters can provide data support for the intelligent transportation system, and promote the intelligent transportation system to fully play its role. The research and analysis of traffic video is a very popular research field. If researchers can directly obtain information such as traffic flow, density, and speed from video data, it will be very important for the development of intelligent transportation systems. Existing traffic parameter detection methods are difficult to achieve traffic flow, density, and speed The challenge of real-time detection. Traditional methods are mainly based on video detection of traffic flow parameters based on background modeling. These methods are prone to misjudgments due to interference from external enviro...

AI Technical Summary

Problems solved by technology

[0006] In order to solve the problems in the prior art, the purpose of the present invention is to provide a real-time detection method of traffic flow parameters based on traffic monitoring video. The present invention solves the problem of directly obtaining traffic flow parameters from the traffic monitoring video, and can Complete real-time and accurate detection of multiple traffic flow parameters

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