Pitching shot detection based on multiple feature analysis and fuzzy classification

Authors:
Wen-Nung Lie;Guo-Shiang Lin;Sheng-Lung Cheng
Affiliations:
Dept. of Electrical Engineering, Chung Cheng University, Taiwan;Dept. of Computer Science and Information Engineering, Da Yeh University, Taiwan;Dept. of Electrical Engineering, Chung Cheng University, Taiwan
Venue:
PCM'06 Proceedings of the 7th Pacific Rim conference on Advances in Multimedia Information Processing
Year:
2006

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Abstract

Pitching-shot is known to be a root-shot for subsequent baseball video content analysis, e.g., event or highlight detection, and video structure parsing. In this paper, we integrate multiple feature analysis and fuzzy classification techniques to achieve pitching-shot detection in commercial baseball video. The adopted features include color (e.g., field color percentage and dominant color), temporal motion, and spatial activity distribution. On the other hand, domain knowledge of the baseball game forms the basis for fuzzy inference rules. Experiment results show that our detection rate is capable of achieving 95.76%.