A novel multimedia data mining framework for information extraction of a soccer video stream

Intelligent Data Analysis

Volumn 13, Issue 5, 2009, Pages 833-857

  Pazouki, Ehsan ^a   Rahmati, Mohammad ^a  

^a AMIRKABIR UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Information extraction; Multimedia data mining; Player tracking; Soccer video analysis

Indexed keywords

EID: 70350786703     PISSN: 1088467X     EISSN: 15714128     Source Type: Journal    
DOI: 10.3233/IDA-2009-0395     Document Type: Article

References (29)

1. A. Ekin, Sports Video Processing for Description, Summarization, and Search, Doctor of Philosophy, Department of Electrical and Computer Engineering The College School of Engineering and Applied Sciences, University of Rochester, 2003.
2. A.J. Viterbi, A Personal History of the Viterbi Algorithm, IEEE Signal Processing Magazine [120], (July 2006).
3. A. Yilmaz, O. Javed and M. Shah, Object Tracking: A Survey, ACM Comput Surv 38, 4, Article 13 (Dec. 2006), 45 pages.
4. C. Kang, J. Hwang and K. Li, Trajectory Analysis for Soccer Players, International Conference on Data Mining - Workshops (ICDMW'06), IEEE, 2006.
5. D.A. Sadlier and N.E. O'Connor, Event detection in field sports video using audio-visual features and a support vector Machine, IEEE Transactions on Circuits and Systems for Video Technology 15 10) (Oct 2005), 1225-1233.
6. D. Comaniciu, V. Ramesh and P. Meer, Kernel-Based Object Tracking, IEEE Transactions on Pattern Analysis and Machine Intelligent 25 5) (May 2003).
7. D. Comaniciu, V. Ramesh and P. Meer, Real-Time Tracking of Non-Rigid Objects using Mean Shift, IEEE CVPR 2000.
8. D. Tweed and A. Calway, Tracking Many Objects Using Subordinated CONDENSATION, BMVC, 2002.
9. E.A. Murat Tekalp and R. Mehrotra, Automatic soccer video analysis and summarization, IEEE Transactions on Image Process 12(7) (July 2003).
10. E. Pazouki, Analysis and Evaluation of Technical Performance of a Specific Player during a Soccer game based Video Sequence, MS thesis, Amirkabir University of Technology, Computer Engineering Department 2008.
11. G. Welch and G. Bishop, An Introduction to the Kalman Filter, Department of Computer Science, University of North Carolina at Chapel Hill.
12. H. Lu, B.C. Ooi, H.T. Shen and X. Xue, Hierarchical Indexing Structure for Efficient Similarity Search in Video Retrieval, IEEE Transactions on Knowledge and Data Engineering 18(11) (Nov 2006), 1544-1559.
13. I.F. A. Board, Laws of the Game, Fédération Internationale de Football Association 11 Hitzigweg, 8030 Zurich, Switzerland.
14. J. Needham, Tracking and Modeling of Team Game Interactions, degree of Doctor of Philosophy, School of Computing, The University of Leeds, 2003.
15. J. Oh, J. Lee and S. Hwang, Video Data Mining: Current Status and Challenges. Encyclopedia of Data Warehousing and Mining, (A book edited by Dr. John Wang). Idea Group Inc. and IRM Press. 2005.
16. J. Pers and S. Kovacic, Computer Vision System for Tracking Players in Sports Games, First Int'l Workshop on Image and Signal Processing and Analysis, June 14-15, 2000, Pula, Croatia.
17. K. Okuma, A. Taleghani, N.D. Freitas, J.J. Little and David G. Lowe, A Boosted Particle Filter: Multitarget Detection and Tracking, University of British Columbia.
18. M. Beetz, J. Bandouch and S. Gedikli, Camerabased Observation of Football Games for Analyzing Multiagent Activities, ACM 2006 159593-303-4/06/0005.
19. M. Isard and A. Blake, CONDENSATION - Conditional Density Propagation for Visual Tracking, Int J Computer Vision (1998), in press.
20. N.R. Pal, K. Pal and J.C. Bezdek, Amixed c-means clustering model, in IEEE Int Conf. Fuzzy Systems, Spain, 1997, pp. 11-21.
21. N. Vandenbroucke, L. Macaire and J. Postaire, Color image segmentation by pixel classification in an adapted hybrid color space, Application to soccer image analysis, Computer Vision and Image Understanding 90 (2003), 190-216.
22. O. UTSUMI, K. MIURA, I. IDE, S. SAKAI and H. TANAKA, an object detection method for describing soccer games from video, IEEE, (2002).
23. P.J. Figueroa, N.J. Leite and R.M.L. Barros, Tracking soccer players aiming their kinematical motion analysis, Computer Vision and Image Understanding 101 (2006), 122-135.
24. S. Choi, Y. Seo, H. Kim and K.S. Hong, Where are the ball and players? Soccer game analysis with colorbased tracking and image mosaick, In Proc. Int. Conf. on Image Analysis and Processing, 1997, pp. 83-91.
25. S.H. Khatoonabadi and M. Rahmati, Automatic soccer players tracking in goal scenes by camera motion elimination, Image and Vision Computing, In Press, Corrected Proof, Available online 10 July 2008.
26. S. Iwase and H. Saito, Parallel Tracking of All Soccer Players by Integrating Detected Positions in Multiple View Images, 17th International Conference on Pattern Recognition (ICPR'04) 1051-4651/04.
27. S.S. Intille and A.F. Bobick, Tracking Using a Local Closed-World Assumption: Tracking in the Football Domain, Master of Science in Media Arts and Sciences, School of Architecture and Planning, Submitted to the Program in Media Arts and Sciences, on August 5, 1994.
28. W.C. Naidoo and J.R. Tapamo, Soccer Video Analysis by Ball, Player and Referee Tracking, SAICSIT 2006, Pages 51-60.
29. Y. Gong, T.S. Lim and H.C. Chua, Automatic Parsing of TV Soccer Programs, IEEE International Conference on Multimedia Computing and Systems, May, 1995.