A Statistical Method for Analysis of Technical Data of a Badminton Match Based on 2-D Seriate Images

Tsinghua Science and Technology

Volumn 12, Issue 5, 2007, Pages 594-601

  Chen, Bingqi ^a   Wang, Zhiqiang ^a  

^a CHINA AGRICULTURAL UNIVERSITY   (China)

Author keywords

2 D measurement; badminton match; machine vision; stroke type statistic; trajectory tracking

Indexed keywords

ALGORITHMS; COMPUTER VISION; DATA REDUCTION; PARAMETER ESTIMATION; STATISTICAL METHODS; TWO DIMENSIONAL;

2-D MEASUREMENT; STROKE TYPE STATISTIC; TRAJECTORY TRACKING;

IMAGE ANALYSIS;

EID: 34748899476     PISSN: 10070214     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1007-0214(07)70138-4     Document Type: Article

References (15)

1. Pingali G., Opalach A., and Jean Y. Ball tracking and virtual replays for innovative tennis broadcasts. Proceedings 15th International Conference on Pattern Recognition (2000), IEEE Compter Society Press, Washington, DC, USA 152-156
2. Pingali G., Jean Y., and Carlbom I. Real-time tracking for enhanced sports broadcasts. Proceedings of CVPR98 (1998), IEEE Compter Society Press, Washington, DC, USA 260-265
3. Yu X., Xu C., Hon W.L., et al. Trajectory-based ball detection and tracking with applications to semantic analysis of broadcast soccer video. Proceedings of the 11th ACM International Conference on Multimedia (2003), ACM Press, New York, NY, USA 11-20
4. Yu X., Tian Q., and Wan K. A novel ball detection framework for real soccer video. Proceedings of ICME (2003), IEEE Computer Society Press, Washington, DC, USA 265-268
5. Yu X., Xu C., Tian Q., et al. A ball tracking framework for broadcast soccer video. Proceedings of ICME (2003), IEEE Computer Society Press, Washington, DC, USA 273-276
6. Yu X., Sim C.-H., Jenny R.W., et al. A trajectory-based ball detection and tracking algorithm in broadcast tennis video. Proceedings of ICIP (2004), ACM Press, New York, NY, USA 1049-1052
7. Ekin A., Tekalp A., and Mehrotra R. Automatic soccer video analysis and summarization. IEEE Transactions on Image Processing 7 12 (2003) 796-807
8. Utsumiy O, Miurayy K, Idez I, et al. An object detection method for describing soccer games from video. In: IEEE International Conference on Image Processing. 2002: 45-48.
9. Perš J, Kovacic S. Computer vision system for tracking players in sports games. In: Proceedings of Int'l Work-Shop Image Signal Processing Analysis. Pula, Croa-tia, 2000: 177-182.
10. Perš J., and Kovacic S. Tracking people in sport: Making use of partially controlled environment. Proceedings of the 9th International Conference on Computer Analysis of Images and Patterns (2001), Springer-Verlag, London, UK 374-382
11. Figueroa P., Leite N., Barros R., et al. Tracking soccer players aiming their kinematical motion analysis. Computer Vision and Image Understanding 101 2 (2006) 122-135
12. Ye Qixiang, Huang Qingming, Jiang Shuqiang, et al. Jersey number detection in sports video for athlete identification. In: Proceedings of SPIE-The International Society for Optical Engineering, Visual Communications and Image Processing. 2005: 1599-1606.
13. Wang Lei, Zeng Boyi, Lin S, et al. Automatic extraction of semantic colors in sports video. In: IEEE International Conference on Acoustics, Speech and Signal Processing. Canada, 2004: 617-620.
14. Qi Fei, Luo Yupin, Hu Dongcheng. Visual tracking of players through occlusions in low resolution. In: 6th IASTED International Conference on Signal and Image Processing. Singapore, 2004: 375-380.
15. Zaveri M A, Merchant S N, Desai U B. Small and fast moving object detection and tracking in sports video sequences. In: IEEE International Conference on Multimedia and Expo. Taipei, China, 2004: 1539-1542.