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Moving target tracking and detection method

A moving target and detection method technology, applied in the field of video processing, can solve problems such as low reliability, insufficient recognition and understanding, and increased computational complexity

Inactive Publication Date: 2015-09-02
GUANGXI UNIVERSITY OF TECHNOLOGY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] In the process of multi-player behavior recognition in football game videos, since it is difficult to effectively describe the behavior characteristics of multiple players with a single feature, using a single feature for behavior recognition will lead to unreliability of the calculation results
There are many features that can be used to identify multi-player behaviors in football match videos, but too many selected features and too large feature vector dimension will increase the complexity of calculation; too few selected features are not enough to identify and Understanding Multiplayer Behavior in Football Videos
[0003] In the process of realizing the present invention, the inventor found that there are at least defects such as complicated operation process, long time-consuming and low reliability in the prior art

Method used

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Embodiment Construction

[0074] The preferred embodiments of the present invention will be described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described here are only used to illustrate and explain the present invention, and are not intended to limit the present invention.

[0075] According to an embodiment of the present invention, such as Figure 1-Figure 5 As shown, a moving target tracking and detection method is provided.

[0076] Feature extraction and fusion of multi-player behavior in football match video

[0077] This part introduces how to extract useful features in the process of multi-player behavior recognition in football game videos and use the automatic generation of RBF network to fuse the extracted multi-features, so as to solve the problem of increased computational complexity due to the extraction of too many features, thus solving the problem in football game videos. Real-time requirements for multi-player behavio...

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Abstract

The present invention discloses a moving target tracking and detection method. The moving target tracking and detection method comprises the steps of segmenting the moving targets in a football match video; tracking and detecting the players; tracking and detecting a football; classifying the players and the judges; determining a football match position. The moving target tracking and detection method of the present invention can overcome the defects in the prior art of complicated operation process, long spending time, low reliability, etc., and can realize the advantages of simple operation process, short spending time and high reliability.

Description

technical field [0001] The invention relates to the technical field of video processing, in particular to a method for tracking and detecting a moving target. Background technique [0002] In the process of multi-player behavior recognition in football game videos, since it is difficult to effectively describe the behavior characteristics of multiple players with a single feature, using a single feature for behavior recognition will lead to unreliable calculation results. There are many features that can be used to identify multi-player behaviors in football match videos, but too many selected features and too large feature vector dimension will increase the complexity of calculation; too few selected features are not enough to identify and Understanding multiplayer behavior in football game videos. [0003] In the process of realizing the present invention, the inventors found that the prior art at least has defects such as complicated operation process, long time-consumin...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/20
Inventor 王智文刘美珍罗功坤阳树洪欧阳浩蒋联源李春贵夏冬雪
Owner GUANGXI UNIVERSITY OF TECHNOLOGY
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