Mean shift tracking algorithm-based traffic flow detection method

Abstract

The invention relates to a mean shift tracking algorithm-based traffic flow detection method and belongs to the intelligent transportation system technical field. The traffic flow detection method includes the following steps that: an improved mean filtering background extraction method is utilized to screen pixels in a video image, and then, gray value summation operation is performed on pixels that meet a screening condition, and the other pixels are ignored, and what counts is the formulation of screening rules; a current prediction vector is calculated according to the initial position and current position of a target, and calculation is carried out based on the current position of the target and the prediction vector, and the next position of the target can be predicted; and in most of mean shift algorithms, color histograms are generally adopted as the characteristic description of targets, and a tracking algorithm is efficient and robust. According to the method, different points of a foreground image and a background image are analyzed; foreground and background can be distinguished; the background image is screened out as far as possible; and finally, statistical processing is carried out.

Description

Technical field: [0001] The invention relates to the technical field of intelligent traffic systems, in particular to a traffic flow detection method based on a MeanShift tracking algorithm. Background technique: [0002] Today's world economy is developing rapidly, people's living standards are gradually improving, and severe traffic problems are also accompanied. Whether abroad or at home, traffic congestion and traffic congestion have become key factors affecting the normal life of urban residents. In order to improve the traffic environment, the national government invested in the construction of roads and accelerated the construction of basic traffic, but with little effect. In recent years, with the improvement of computer technology, intelligent transportation technology has gradually emerged, bringing dawn to the governance of the traffic environment. Intelligent transportation system has been widely used in some developed countries, and has received good results, ...

AI Technical Summary

Problems solved by technology

[0005] The traditional mean filtering method can well adapt to the situation of small traffic flow, but it is not effective in processing video images during peak traffic hours.

Images