The Open Cybernetics & Systemics Journal

2015, 9 : 2456-2462
Published online 2015 October 21. DOI: 10.2174/1874110X01509012456
Publisher ID: TOCSJ-9-2456

Research on Detection of Moving Target Based on Hybrid Algorithm Mining Method for Sports Video Analysis

Yabin Tan and Tao Kang
Physical Education College of Gannan Normal University, Ganzhou Jiangxi, China.

ABSTRACT

With the level of competitive sports to improve sports training, demand is also rising, the last with only coaches intuition training way has been can not meet the demand of competitive sports training stage, in order to adapt to this situation, computer vision technology is increasingly cited the use of physical training, because the accuracy and memory of the machine vision has better than the human eye, to capture a moving target rapidly and effectively, and to record the target motion data, provide more theoretical, data description for the athlete's movement. However, the majority of users want to be able to quickly from the multimedia data to extract the interested content and implicit knowledge (concepts, rules, rules, models and correlation), retrieval and query quickly to take advantage of them, but also can provide the decision support problem solving hierarchy. In order to test the validity of the algorithm, this paper constructs a sports video detection and tracking system on the MATLAB platform, the test results show that, there is no and the methods used to appear the phenomenon of track loss, can achieve the desired effect.

Keywords:

Motion mining, motion tracking, object segmentation, semantic information in the event of track.