Method for detecting vehicle queue length based on local variance

Abstract

The invention disclose a method for detecting a vehicle queue length based on a local variance, which is applied to the field of intelligent transportation, and particularly relates to a digital image processing and computer visual technique. The method comprises the following steps: putting forward an improved local variance method for performing vehicle detection; putting forward a combination of the improved local variance method and an LBP (Length between Perpendiculars) algorithm to remove vehicle shadows; and putting forward a method for reducing vehicle queue length calculation errors. The method for detecting the vehicle queue length has a small calculation quantity, and the problem of error detection of vehicles caused by vehicle shadows of lanes during multi-lane detection is solved. Due to the adoption of the method, functions of real-time control of traffic lights, measurement of traffic flow control indexes and the like can be realized; and the method plays important roles in maintaining traffic safety and urban security, increasing the road utilization ratios, reducing traffic jams, realizing automatic traffic management and intelligent city, and the like.

Description

technical field [0001] The method of the invention is applied to the field of intelligent transportation, and specifically relates to digital image processing and computer vision technology. Background technique [0002] With the continuous advent of high-performance computers and video equipment and the increasing demand for automatic analysis and understanding of video information, the analysis of video information has gradually developed into an important and popular research topic in the field of computer vision research in recent years, and has attracted More and more researchers. [0003] With the gradual acceleration of my country's urbanization process in recent years, traffic congestion has become more and more serious. Traffic congestion makes the incidence of traffic accidents higher, which not only aggravates environmental pollution, causes waste of resources, but also brings great inconvenience to people's travel. Faced with increasingly congested traffic and ...

AI Technical Summary

Problems solved by technology

However, the existing vehicle queue length detection methods generally have complex vehicle detection algorithms, large amount of calculation, and the problem of false detection caused by vehicle shadows in adjacent lanes is not considered when multi-lane detection is performed.

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