Target tracking method and system, storage medium and terminal equipment

Abstract

The embodiment of the invention discloses a target tracking method and system, a storage medium and terminal equipment, and is applied to the technical field of information processing based on artificial intelligence. A target tracking system locates a target object based on static appearance features of an image, namely, determines first candidate position information of the target object according to first feature information and second feature information of a target picture block and a to-be-processed frame image; then positions the target object position based on the motion characteristics of the image, namely determines second candidate position information of the target object according to the first optical flow information and the second optical flow information of the reference frame image and the frame image to be processed and the reference position information of the target picture block; and finally positions the target object according to the first candidate position information and the second candidate position information. Therefore, the noise of the static appearance feature of the image in the target object positioning process can be offset as much as possible through the motion feature of the image, so that the target object is finally positioned more accurately.

Description

technical field [0001] The present invention relates to the technical field of information processing based on artificial intelligence, in particular to a target tracking method, system, storage medium and terminal equipment. Background technique [0002] Since the development of target tracking technology in the 1960s, the main target tracking algorithms are divided into two categories, one is the tracking algorithm based on correlation filtering, and the other is the tracking algorithm based on deep learning. Among them, the tracking algorithm based on correlation filtering mainly locates the target through the cross-correlation of two pictures, and applies Fourier transform to convert the convolution operation in the spatial domain to the frequency domain, which greatly improves the calculation speed; while the tracking algorithm based on deep learning The algorithm mainly uses the machine learning model of artificial intelligence to extract the features of the picture, a...

AI Technical Summary

Problems solved by technology

[0003] However, in practical applications, due to the interference of various factors such as complex backgrounds in some video scenes, small video interfaces, frequent entry and exit of multiple objects in the video, occlusion between objects, and shaking of the shooting device during video shooting, the existing target tracking method Unsatisfactory tracking of objects in video

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