Visual players detection and tracking in soccer matches

Proceedings - IEEE 5th International Conference on Advanced Video and Signal Based Surveillance, AVSS 2008

Volumn , Issue , 2008, Pages 326-333

  Mazzeo, P L ^a   Spagnolo , P ^a   Leo M , ^a   D'Orazio , T ^a  

^a CNR   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTERING ALGORITHMS; MERGING; SECURITY SYSTEMS;

BACKGROUND MODELING; BACKGROUND SUBTRACTIONS; COLOR FEATURES; DETECTION AND TRACKING; ENERGY CONTENTS; EXPERIMENTAL TESTS; GEOMETRICAL INFORMATIONS; HIGH FRAME RATES; IMAGE SEQUENCES; LIGHT CONDITIONS; MAXIMUM A POSTERIORI PROBABILITIES; MOVING OBJECTS; OBJECT SEGMENTATIONS; PEOPLE-TRACKING; REAL-TIME PROCESSING; SOCCER PLAYERS; SPLITTING AND MERGING; STOCHASTIC APPROACHES; UNSUPERVISED CLUSTERING ALGORITHMS; VARYING LIGHTS;

IMAGE MATCHING;

EID: 60849084137     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AVSS.2008.33     Document Type: Conference Paper

References (17)

1. http://homepages.inf.ed.ac.uk/rbf/ caviar/caviar2/ onestopmovenoenterfront.
2. P. Figueroa, N. Leite, and R. Barros. Tracking soccer players using the graph representation. In ICPR2004: Proceedings of the 7th International Conference on Pattern Recognition, pages IV: 787-790, 2004.
3. L. Fuentes and S. Velastin. Tracking-based event detection for cctv systems. Pattern Analysis Application, 7(4):356-363, 2005.
4. I. Haritaoglu, D. Harwood, and L. S. Davis. Hydra: Multiple people detection and tracking using silhouettes. In ICIAP '99: Proceedings of the 10th International Conference on Image Analysis and Processing, page 280, Washington, DC, USA, 1999. IEEE Computer Society.
5. T. Kanade, R. Collins, A. Lipton, P. Burt, and L. Wixson. Advances in cooperative multi-sensor video surveillance, 1998.
6. T. Mathes and J. Piater. Robust non-rigid object tracking using point distribution models. 2005.
7. S. McKenna, SJabri, Z.Duric, A. Rosenfield, and H. Wech-sler. Tracking group of people. Computer Vision and Image Understanding, 80:42-56, 2000.
8. S. J. McKenna. Tracking colour objects using adaptive mixture models. Image Vision Computing, 17(3-4):225-231, 1999.
9. T. Misu, S. Gohshi, Y. Izumi, Y. Fujita, and M, Naemura. Robust tracking of athletes using multiple features of multiple views. Journal of WSCG, 12(1-3), 2004.
10. M. Naemura, A. Fukuda, Y.Mizutani, Y.Izumi, Y.Tanaka, and K.Enami. Morphological segmentation of sport scenes using color information. IEEE Transaction on Broadcasting, 46(3): 181-188, 2000.
11. Y. Otha, T. Kanade, and T. Sakai. Color information for region segmentation. Computer Graphics and Image Processing, 13:222-241, 1980.
12. S. Theodoridis and K. Koutroumbas, Pattern Recognition. Academic Press, 1998.
13. K. Toyama, J. Krumm, B. Brumitt, and B. Mayers. Wallflower: Principles and practice of background maintenance. In ICCV1999: Proceedings of the International Conference on Computer Vision, pages 255-261, 1999.
14. C. Wren, A. Azarbayejiani, T. Darrel, and A. Pentland. Pfinderreal time tracking of the human body. IEEE Transaction on Pattern Analysis and Machine Intelligence, 19(7):780-785, 1997.
15. M, Xu, J, Orwell, L.Lowey, and D.Thirde. Architecture and algorithms for tracking football players with multiple cameras. 1EE Proceedings on Vision, Image and Signed Processing, 152(2):232-241, 2005.
16. Z. Xu and P. Shi. Segmentation of players and team discrimination in soccer videos. In VLSI2005: IEEE International Workshop on VLSI Design & Video Technology, pages 369- 372, 2005.
17. T. Zhao and R. Nevatia. Tracking multiple humans in crowded environment. In CVPR2004: Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition, pages II: 406-413, 2004.