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Lazy interaction mode-based video tracking method

A video tracking and interactive technology, applied in the field of video tracking, can solve the problems of insufficient robustness and low calculation speed, and achieve the effect of ensuring correctness and continuity, high calculation speed and good robustness

Active Publication Date: 2017-12-29
SOUTH CHINA AGRI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention overcomes the technical defect that the above-mentioned existing video tracking algorithm has low calculation speed and insufficient robustness, and provides a new video tracking method based on lazy interaction

Method used

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  • Lazy interaction mode-based video tracking method
  • Lazy interaction mode-based video tracking method
  • Lazy interaction mode-based video tracking method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0093] Embodiment 1: λ=2, μ=1, R is 4:1, β=1.5, the target tracking process is as follows image 3 shown.

Embodiment 2

[0094] Embodiment 2: λ=1, μ=1, R is 4:1, β=1.5, the target tracking process is as follows Figure 4 shown.

Embodiment 3

[0095] Embodiment 3: λ=2, μ=2, R is 4:1, β=1.5, the target tracking process is as follows Figure 5 shown.

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Abstract

The invention provides a lazy interaction mode-based video tracking method. The invention aims to eliminate the defect of low computational speed or insufficient robustness of an existing video tracking algorithm. According to the method, when a target is partially obscured and illumination changes obviously, the abnormal conditions of blocks are judged; the judgment results of the blocks can be divided into three situations, wherein the first one is the departure of the blocks from a target, the second one is proportional imbalance of positive samples and negative samples, and the third one is the excessively low confidence value of the trackablility of the blocks; with the above conditions adopted, abnormal blocks can be screened out, and re-modeling and tracking are performed; and since a plurality of blocks are required to be tracked, the KCF algorithm is introduced to be adopted as a basic tracking operator to ensure the efficiency of the tracking. With the method of the invention adopted, the robustness of resampled samples can be ensured to the greatest extent, and therefore, the continuity and correctness of a tracking effect can be achieved, and at the same time, a higher calculation speed can be guaranteed.

Description

technical field [0001] The invention relates to the field of pattern recognition, and more particularly, to a video tracking method. Background technique [0002] Video tracking (also known as: target tracking) mainly studies how to use the computer to automatically track the moving target in the video. First, by extracting the characteristics of the target's motion, color, texture, shape, etc., while considering the grayscale, structure and statistics of the background, Construct the mathematical model of the target and the background and its measurement equation, then design the matching strategy and discriminant criteria, and finally realize the detection, location and tracking of the target. Target tracking has a wide range of applications in civilian and military fields, such as video surveillance, intelligent robots, unmanned vehicles, and so on. Therefore, the development of video tracking technology is of great significance to accelerate the development of science a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/223G06T7/62G06T7/66
CPCG06T2207/10016G06T2207/20021G06T2207/20076G06T2207/20081G06T7/223G06T7/62G06T7/66
Inventor 梁云刘财兴刘德武王美华李亚桢龚杰文
Owner SOUTH CHINA AGRI UNIV
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