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Tactical Behavior Recognition Method for Sports Video Based on Spatio-temporal Local Mode

A space-time local and tactical technology, applied in character and pattern recognition, computer parts, instruments, etc., can solve the problems of consuming manpower and material resources, and achieve the effect of improving practicability, reducing complexity, and improving detection efficiency

Inactive Publication Date: 2017-06-09
JILIN AGRICULTURAL UNIV
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AI Technical Summary

Problems solved by technology

In order to effectively obtain the tactical analysis results during the game, current sports professionals mostly use manual analysis and labeling, which consumes a lot of manpower and material resources, and is limited by their own professional knowledge. The tactical identification and analysis of both Chinese and competitive players is of great significance to meet the future development of sports video related industries

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  • Tactical Behavior Recognition Method for Sports Video Based on Spatio-temporal Local Mode
  • Tactical Behavior Recognition Method for Sports Video Based on Spatio-temporal Local Mode
  • Tactical Behavior Recognition Method for Sports Video Based on Spatio-temporal Local Mode

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Embodiment Construction

[0025] The detailed content of the present invention and its specific implementation will be further described below in conjunction with the accompanying drawings.

[0026] see Figure 1 to Figure 4 Shown, the sports video tactical behavior recognition method based on spatio-temporal local pattern of the present invention, comprises the steps:

[0027] S1: Sports video input. Shooting videos for sports games are divided into long-distance, medium-distance and close-distance videos, while long-distance video not only occupies most of the proportion of shooting video, but also the video can reflect the information on the field from a global perspective. Therefore, the long-distance shooting video segments of exciting sports events (goal events, offensive and defensive events) are selected and converted into video frame images as input.

[0028] F={f 1 ,f 2 ,..., f i ,..., f N}

[0029] where F represents the video segment corresponding to a specific sports time, and f i ...

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Abstract

The invention relates to a sports video tactical behavior recognition method based on a space-time local mode, and belongs to the technical field of video content understanding. A local space-time mode is used for realizing the tactical video behavior recognition of teamwork match in sports videos. The sports video tactical behavior recognition method is different from the existing method using track features for tactical behavior recognition. For video frame sequence images, a measure of improving a space-time local regression kernel to be used as a feature detector for detecting a movement significance region is provided; and the movement significance region is directly used as a feature word for building a visual feature word bag model and is used for tactical behavior recognition. The defect of influence on the multi-target track extraction due to factors such as complicated backgrounds in the multi-target track extraction process is overcome; the local space-time mode features and the space-time distribution of the local space-time mode features are used as tactical expression; the complexity of the recognition method is reduced; and meanwhile, the practicability of the method is improved. By aiming at large data volume of the videos, the detecting efficiency of a detecting operator is effectively improved.

Description

technical field [0001] The invention relates to the technical field of video content understanding, in particular to the tactical behavior recognition for sports videos, especially a method for recognizing tactical behaviors of sports videos based on spatio-temporal local patterns. Background technique [0002] With the rapid development of video technology and the improvement of consumer demand, semantic-based multimedia information analysis, understanding and retrieval related technologies have a broad space for demand development. As one of the main multimedia video content, sports video has received wide attention due to its huge commercial value, entertainment function and huge audience, so the detection, semantic understanding and labeling technologies for exciting events such as shooting and shooting in sports videos have attracted wide attention. , and a lot of research results have been obtained. [0003] On the whole, the detection and labeling of exciting events ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00
Inventor 温长吉王生生于合龙徐亚静万保成李健刘鹤张羽
Owner JILIN AGRICULTURAL UNIV
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