A Fully Automatic Player Detection Method Based on One-Class SVM

Author:

BAI Xuefeng1,ZHANG Tiejun2,WANG Chuanjun1,A. ABD EL-LATIF Ahmed32,NIU Xiamu12

Affiliation:

1. Shenzhen Graduate School, Harbin Institute of Technology

2. School of Computer Science and Technology, Harbin Institute of Technology

3. Mathematics Department, Faculty of Science, Menoufia University

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Reference11 articles.

1. [1] O. Utsumi, K. Miura, I. Ide, S. Sakai, and H. Tanaka, “An object detection method for describing soccer games from video,” IEEE International Conference on Multimedia and Expo, pp.45-48, 2002.

2. [2] Y. Huang, J. Llach, and S. Bhagavathy, “Players and ball detection in soccer videos based on color segmentation and shape analysis,” Proc. 2007 International Conference on Multimedia Content Analysis and Mining, Weihai, China, pp.416-425, 2007.

3. [3] G. Zhu, C. Xu, Q. Huang, and W. Gao, “Automatic multi-player detection and tracking in broadcast sports video using support vector machine and particle filter,” IEEE International Conference on Multimedia and Expo, pp.1629-1632, Toronto, ON, Canada, July 2006.

4. [4] S. Mackowiak, M. Kurc, J. Konieczny, and P. Mackowiak, “A complex system for football player detection in broadcasted video,” International Conference on Signals and Electronic Systems, pp.119-122, Gliwice, Poland, Sept. 2010.

5. [5] P. Viola and M.J. Jones, “Robust real-time face detection,” Int. J. Comput. Vis., vol.57, no.2, pp.137-154, 2004.

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