Traffic jam judging method based on video detection technology

Abstract

The invention discloses a traffic jam judging method based on a video detection technology. By adopting a digital image processing technology, the background model of a traffic video image is established, foreground extraction and foreground de-noising are carried out on the background model, road occupancy is calculated, and a traffic jam judging model is established, thus finishing the judgment of the traffic jam state by the four steps. The traffic jam judging model comprises a jam fuzzy clustering judger and an auxiliary judger, the video image processing technology is utilized to obtain one parameter, i.e. the road occupancy, thus calculating the occupancy variance and the absolute value of occupancy variation, and being capable of finishing the judgment of the traffic jam state by using the three finite parameters.

Description

technical field [0001] The invention relates to the field of road traffic state detection, in particular to a method for judging traffic congestion based on video detection technology. Background technique [0002] With the rapid development of the economy, the number of motor vehicles owned by the urban population is also increasing rapidly. The growth rate of vehicles far exceeds the growth rate of roads, resulting in increasingly serious traffic congestion and frequent traffic accidents. Therefore, it is of great significance to monitor the state of road congestion through scientific and technological means. [0003] Traffic congestion detection methods include buried induction detection, microwave detection, GPS floating car detection technology, video detection technology, etc. Buried induction detection lays induction coils on various sections of the road, which has the disadvantages of being easily damaged, difficult to repair, and complicated construction; microwave...

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Problems solved by technology

[0005] In view of this, in order to solve the above problems, the present invention discloses a traffic jam discrimination method based on video detection technology. Aiming at the shortcomings of the traditional traffic jam discrimination method that needs to obtain a large number of traffic state parameters, the calculation cost is large, and the real-time performance is not strong, the present invention The invention only uses video image processing technology to obtain a parameter of road occupancy rate, and calculates the variance of occupancy rate, the absolute value of occupancy rate change, and constructs a fuzzy clusterer to complete the judgment of road congestion status

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