A New Hierarchical Particle Filter Based Tracking System for Soccer Game Analysis

Authors:
Shih-Ting Wang;Jin-Jang Leou;Cheng-Shian Lin
Affiliations:
Department of Computer Science and Information Engineering, National Chung Cheng University, Chiayi, Taiwan Republic of China 621;Department of Computer Science and Information Engineering, National Chung Cheng University, Chiayi, Taiwan Republic of China 621;Department of Computer Science and Information Engineering, National Chung Cheng University, Chiayi, Taiwan Republic of China 621
Venue:
PCM '08 Proceedings of the 9th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Year:
2008

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Abstract

In this study, a new hierarchical particle filter based tracking system for soccer game analysis is proposed. Here, the hierarchical particle filter is used to fuse different types of features, such as color, edge, and position information in a cascaded feature structure. Additionally, the proposed system will handle the occlusion problem in an effective manner. As compared with three comparison methods, simulation results demonstrate that the proposed system tracks soccer players successfully and accurately.