Multi-thread visual target tracking method based on STC and block re-detection

A target tracking and multi-threading technology, applied in the field of computer vision application target detection and tracking, can solve problems such as tracking failure and slow tracking speed

Active Publication Date: 2019-12-13
WUHAN UNIV
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Problems solved by technology

[0004] The purpose of the present invention is to provide a multi-threaded visual target tracking method based on STC and block re-detection, which aims to solve the problems of heavy occlusion, fast movement and exceeding In the case of field of view, etc., it is easy to cause problems such as tracking failure and slow tracking speed.

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[0077] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0078] Such as figure 1 and figure 2 As shown, the embodiment of the present invention provides a multi-threaded visual target tracking method based on STC and block re-detection, comprising the following steps:

[0079] S1. Use the first frame image of the opened video or image sequence to determine the tracking target artificially or through the target detection algorithm. At the same time, open the LCT thread to train the SVM classifier. The trained SVM c...

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Abstract

The invention provides a multi-thread visual target tracking method based on STC and block re-detection, and the method comprises the following steps: S1, reading a first frame image, and determininga tracking target; S2, establishing a spatial context model for the first frame of image by adopting an STC algorithm; S3, performing blocking operation on a rectangular template area where a trackingtarget in the first frame image is located, and training an SVM classifier; s4, reading a next frame of image, learning from a previous frame of image to obtain a spatial context model, and calculating target neighborhood context priori; s5, updating the space-time context model of the current frame image; s6, obtaining a confidence map of the current frame image; s7, judging the shielded degreeof the tracking target in the current frame image according to the confidence probability; s8, selecting a corresponding processing strategy according to the judged shielding condition of the trackingtarget; and S9, circularly executing the steps S4-S8 until the current video or image sequence is completely processed. According to the invention, the target tracking reliability and the target tracking efficiency can be improved.

Description

technical field [0001] The invention relates to the field of computer vision application target detection and tracking, in particular to a multi-threaded visual target tracking method based on STC and block re-detection. Background technique [0002] Visual target tracking is an important research direction in computer vision. It has a wide range of applications in many fields such as military unmanned aerial vehicles, precision guidance, air early warning and civilian video surveillance, human-computer interaction and unmanned driving. There are many challenges such as scale transformation, heavy occlusion, fast movement, out of view and illumination changes, so it is of great practical significance to propose a reliable real-time visual target tracking method. [0003] Previous visual target tracking methods effectively used temporal context information to track the position and scale of the target in the current frame based on the position and scale information of the ima...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/223G06T7/246G06K9/46G06K9/62
CPCG06T7/223G06T7/246G06T2207/10016G06V10/50G06F18/2411
Inventor 汪鼎文陈曦王泉德孙世磊瞿涛
Owner WUHAN UNIV
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