Correlation filter tracking method based on multi-feature fusion

Abstract

The invention provides a correlation filter tracking method based on multi-feature fusion. The method comprises the following steps: the target position and the size of a target block in an image are read at a t-1 moment; in the image, a target area with the target position as a center is extracted, and the HOG feature, the depth color feature and the depth motion feature of the target area are calculated; according to the HOG feature, the depth color feature and the depth motion feature, a filter is built; data of the image at a t moment are read, a candidate area is extracted with the target position at the t-1 moment as the center in the image, and the HOG feature, the depth color feature and the depth motion feature of the candidate area are calculated; in the image at the t moment, the candidate area is extracted with the target position at the t moment as the center, and the HOG feature, the depth color feature and the depth motion feature of the candidate area are calculated; and according to the HOG feature, the depth color feature and the depth motion feature at the t moment, the filter is updated. The method is a robust target tracking method.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a correlation filter tracking method based on multi-feature fusion. Background technique [0002] Target tracking is a basic problem in computer vision. The purpose of tracking is to determine the position of the target we are interested in in the video sequence, that is, to obtain the motion parameters of the moving target, such as position, velocity, acceleration and trajectory, etc., so as to perform Further processing and analysis to achieve behavioral analysis and understanding of sports targets to complete more advanced tasks. It can be widely used in automatic monitoring, human-computer interaction, military reconnaissance, traffic monitoring and other fields. In recent years, through the efforts of scholars from various countries and extensive research, some advanced ideas, methods and technologies have been proposed one after another. It still faces many chall...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a correlation filter tracking method based on multi-feature fusion to solve the problem that the existing target tracking still stays in tracking only based on the target appearance information, but lacks accuracy and motion adaptability

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