Cluster Computing

, Volume 22, Supplement 2, pp 3543–3552 | Cite as

Researches on hybrid algorithm for moving target detection and tracking in sports video

  • Ruiqin YanEmail author


Intuition is the traditional training method and it cannot meet the training needs. With the rapid development of computer technology, detection and tracking technology which are based on the combination of visual technology are used widely to sports training. Based on the analysis of moving object in sports video motion detection and tracking algorithm, the mean shift algorithm and histogram algorithm the combination of athletes are tracking method and solving the occlusion problem between athletes. This paper uses the method of comparative search window to detect occlusion by using COMSOL and MATLAB simulation technology to combine the virtual intelligent system of constructing a set of sports video motion detection and tracking, and it sets up a complete set of detection system in the laboratory. Simulation analysis and experimental results show that the hybrid algorithm can position and shape of the target for effective detection, solve the non-rigid object shape, and improve the detection accuracy of 42.6%, it provides a more effective detection algorithm for the sports video monitoring.


Hybrid algorithm Moving target Detection Tracking Sports video 



National Social Science Fund Project: Research on the Development Strategy of Ethnic Sports in Southwest Frontier in China (11BTY021).


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© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.School of Physical EducationQujing Normal UniversityQujingChina

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