Highway vehicle flow counting method

Abstract

The invention provides a highway vehicle flow counting method. The method is mainly characterized by comprising the following steps of 1, arranging detection areas in fixed positions on two sides of alane of a highway monitoring area; 2, acquiring video data of the monitoring area and preprocessing the video data; 3, carrying out background modeling by utilizing a Gaussian mixture model, and separating out background pixels from an original image; 4, extracting moving objects from a monitoring video image; 5, recording track information of the moving objects to identify information of vehicles, and marking the vehicles; and 6, tracking and counting the marked vehicles, so as to calculate vehicle flow. According to the highway vehicle flow counting method provided by the invention, road traffic flow is monitored in real time, so that the vehicles on the road surface can be detected, tracked and counted all-directionally, accurately and efficiently in real time; and the method can be applied to complex scenes, is high in detection accuracy and good in real-time performance, and has important application values.

Description

technical field [0001] The invention belongs to the technical field of security monitoring, in particular to a method for counting traffic flow on expressways. Background technique [0002] With the rapid development of modern economy, expressway transportation has become an important mode of transportation in the transportation industry. In order to ensure smooth traffic and driving safety, thereby improving environmental quality, traffic flow detection on expressways is particularly important. The existing traffic flow detection methods in current traffic are mainly divided into three parts: extracting moving targets from image sequences, identifying the extracted targets and counting vehicles. [0003] The traditional method for extracting moving objects is the background difference method, which uses the weighted average method to update the background, but the update effect is not ideal, resulting in incomplete extraction of moving vehicles, which affects the accuracy ...

AI Technical Summary

Problems solved by technology

[0003] The traditional method of extracting moving objects is the background difference method, which uses the weighted average method to update the background. The update effect is not ideal, resulting in incomplete extraction of moving vehicles, which affects the accuracy of vehicle detection.

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