Research on the Detection of Moving Target for Sport Video Object Analysis Using Hybrid Algorithm

Abstract:

With the raise the level of sports competition, sports training requirements is also rising, just by virtue of the coaches of the intuition training way already can't satisfy the stages of athletic training needs, in order to adapt to this situation, the computer vision technology is increasingly cited used in sports training, because the accuracy and memory of the machine vision has better compared with the human eye, can capture the target quickly and efficiently, and can be a variety of motion data record goal, to provide more theoretical, data description for the athlete's movement. The level of theory mainly includes three parts: basic feature layer, model, event layer and knowledge layer. On the theoretical level, corresponding to the corresponding technical route: basic motion feature extraction, pattern, event mining technology. The theoretical level in each layer are not independent, low layer is tall service, but they also have their own characteristics, can be used for mining information.

• Periodical: Applied Mechanics and Materials (Volumes 687-691)
• Pages: 3889-3892
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.687-691.3889
• Online since: November 2014
• Authors: Rui Li, Hai Cheng Xu, Jin Wei Fu
• Keywords: Image Process, Moving Video, Semantic, Target Tracking

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