Video-based traffic information acquisition method

Abstract

The invention discloses a video-based traffic information acquisition method. The method comprises the following steps: based on the image processing and the mode identification theory, setting a detection region and carrying out geometric correction, extracting the foreground object by Gaussian Mixture Model, identifying a target by a separator, matching the identification result with the foreground object, eliminating the detected false-alarm, fusing the particle filter algorithm and the vehicle detection algorithm to achieve the self-adaptive track of vehicles, achieving the effective target increase and target fusion on basis of the detection result, and finally achieving the calculation of parameters, such as flow statistics, speed, intensity, time occupancy ratio and the like. Furthermore, according to the detection track result; the microscopic traffic analysis on the target, such as the detection on illegally parked vehicles, retrogradation, and overspeed can be also carried out. At the same time, the traffic status, such as traffic congestion detection can be judged; and the queue length calculation under the congestion condition can be calculated. The method has the advantages of high accuracy and low computing complexity and can meet the requirement of the actual application.

Description

technical field [0001] The invention relates to the technical field of intelligent transportation, in particular to a method for collecting traffic information based on video. Background technique [0002] As the basic part of Intelligent Transportation System (ITS), traffic information collection system occupies a very important position in ITS. At present, the collection of traffic information mainly relies on technologies such as ground sensing coil detection, ultrasonic detection and video detection. [0003] The ground induction coil detection technology needs to cut the circular groove on the driveway, and then bury the induction coil. When the vehicle passes by, the induction coil will send a signal to the corresponding equipment. The main advantage is that the cost is relatively low. When the traffic flow is low and the speed is not too slow, the vehicle detection is more accurate. However, it is easy to cause false triggers when encountering complex environments an...

AI Technical Summary

Problems solved by technology

However, the existing video detection technology still has the problems of insufficient accuracy, too complicated model calculation, and inaccurate detection in the case of vehicle congestion.

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