| Title | Event Tactic Analysis Based on Broadcast Sports Video |
| Authors | Zhu, Guangyu Xu, Changsheng Huang, Qingming Rui, Yong Jiang, Shuqiang Gao, Wen Yao, Hongxun |
| Affiliation | Harbin Inst Technol, Sch Comp Sci & Technol, Harbin 150001, Peoples R China. Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China. China Singapore Inst Digital Media, Singapore, Singapore. Chinese Acad Sci, Grad Sch, Beijing 100039, Peoples R China. Microsoft China R&D CRD Grp, Beijing 100080, Peoples R China. Chinese Acad Sci, Key Lab Intelligent Informat Proc, Beijing 100190, Peoples R China. Peking Univ, Inst Digital Media, Beijing 100871, Peoples R China. |
| Keywords | Event detection object tracking trajectory analysis tactic analysis sports video analysis HIDDEN MARKOV-MODELS SOCCER VIDEO TRACKING |
| Issue Date | 2009 |
| Publisher | ieee transactions on multimedia |
| Citation | IEEE TRANSACTIONS ON MULTIMEDIA.2009,11,(1),49-67. |
| Abstract | Most existing approaches on sports video analysis have concentrated on semantic event detection. Sports professionals, however, are more interested in tactic analysis to help improve their performance. In this paper, we propose a novel approach to extract tactic information from the attack events in broadcast soccer video and present the events in a tactic mode to the coaches and sports professionals. We extract the attack events with far-view shots using the analysis and alignment of web-casting text and broadcast video. For a detected event, two tactic representations, aggregate trajectory and play region sequence, are constructed based on multi-object trajectories and field locations in the event shots. Based on the multi-object trajectories tracked in the shot, a weighted graph is constructed via the analysis of temporal-spatial interaction among the players and the ball. Using the Viterbi algorithm, the aggregate trajectory is computed based on the weighted graph. The play region sequence is obtained using the identification of the active field locations in the event based on line detection and competition network. The interactive relationship of aggregate trajectory with the information of play region and the hypothesis testing for trajectory temporal-spatial distribution are employed to discover the tactic patterns in a hierarchical coarse-to-fine framework. Extensive experiments on FIFA World Cup 2006 show that the proposed approach is highly effective. |
| URI | http://hdl.handle.net/20.500.11897/246669 |
| ISSN | 1520-9210 |
| DOI | 10.1109/TMM.2008.2008918 |
| Indexed | SCI(E) EI |
| Appears in Collections: | 信息科学技术学院 |
