An Efficient Framework for Analyzing Periodical Activities in Sports Videos

摘要：

In this paper, we propose a new and efficient framework for analyzing periodical activities in sports videos. The proposed framework first locates the motion patterns (MP) in each frame. By analyzing these located motion patterns with the proposed MPanalysis algorithm, the periodical sports activities can be effectively detected and counted. Furthermore, the qualified and unqualified actions can also be efficiently differentiated. Experimental results on various sports videos including dumbbell and weightlifting demonstrate the effectiveness of our proposed framework.

关键词： Periodicity Sports Analysis Motion Pattern

作者: Yafei Ren Bo Fan Weiyao Lin Xiaokang Yang Hongxiang Li Wei Li Donghua Liu

作者单位: Department of Electronic Engineering,Shanghai Jiao Tong University, Shanghai, China Department of Electrical and Computer Engineering North Dakota State University, USA School of Computer Science and Engineering Beihang University, China School of Electronic Science and Engineering,National University of Defense Technology, China

会议类型: 国际会议

会议名称: 2011 4th International Congress on Image and Signal Processing(第四届图像与信号处理国际学术会议 CISP 2011)

会议地点: 上海

会议语种:英文

页码: 512-516

在线出版日期: 2011-10-15（万方平台首次上网日期，不代表论文的发表时间）