Expressway traffic flow counting method

Abstract

The invention provides an expressway traffic flow counting method. The expressway traffic flow counting method is mainly characterized by comprising the following steps of step one, arranging detection areas at fixed positions on two sides of a lane in an expressway monitoring area; step two, collecting and preprocessing video data of the monitoring area; step three, carrying out background modeling through a Gaussian mixture model, and separating background pixels from an original image; step four, extracting a moving object from a monitoring video image; step five, recording track information of the moving object in order to recognize vehicle information, and marking the vehicle information; and step six, tracking and counting the marked vehicle in order to compute the traffic flow. According to the expressway traffic flow counting method provided by the invention, through real-time monitoring of the road traffic flow, the vehicle on the road surface can be comprehensively, accurately and efficiently detected, tracked and counted in real time; the method can be applied to complex scenes; and the method has high detection accuracy, good real-time performance and important application value.

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.

Images