avtomatska analiza gibanja v izbranih moštvenih športnih igrah
avtomatska analiza gibanja v izbranih moštvenih športnih igrah avtomatska analiza gibanja v izbranih moštvenih športnih igrah
112 Literatura Bayesian networks. Computer Vision and Image Understanding, 92(2- 3):196–216, 2003. [19] S. Nadkarni and P.P. Shenoy. A Causal Mapping Approach to Constructing Bayesian Networks. Decision Support Systems, 38:259–281, 2004. [20] H. Johnson and D. Hogg. Learning the distribution of object trajectories for event recognition. Image and Vision Computing, 14:609–615, 1996. [21] H. Johnson and D. Hogg. Representation and synthesis of behavior using Gaussian mixtures. Image and Vision Computing, 20:889–894, 2002. [22] V. Nair and J. Clark. Automated visual surveillance using hidden markov models. In VI02 - International Conference on Vision Interface, pages 88–93, 2002. [23] F. Cupillard, F. Bremond, and M. Thonnat. Group behavior recognition with multiple cameras. In Applications of Computer Vision, 2002. (WACV 2002). Sixth IEEE Workshop on, pages 177– 183, 2002. [24] S. Hongeng and R. Nevatia. Multi-agent event recognition. In Computer Vision, 2001. ICCV 2001. Eighth IEEE International Conference on,Vancouver, BC, Canada, volume 2, pages 84–91, 2001. [25] S. Hongeng, R. Nevatia, and F. Bremond1. Video-based event recognition: activity representation and probabilistic recognition methods. Computer Vision and Image Understanding, Special Issue on Event Detection in Video, 96(2):129–162, February 2004. [26] Nuria M.O., B. Rosario, and A.P. Pentland. A Bayesian Computer Vision System for Modeling Human Interactions. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(8):831–843, 2000. [27] Y. Du, F. Chen, W. Xu, and Y. Li. Recognizing Interaction Activities using Dynamic Bayesian Network. In Proceedings of the 18th International Conference on Pattern Recognition, volume 1, page 618–621, 2006. [28] S. Gong and T. Xiang. Recognition of Group Activities using Dynamic Probabilistic Networks. iccv, 2:742, 2003.
Literatura 113 [29] C.G.M. Snoek and M. Worring. Multimodal Video Indexing: A Review of the State-of-the-art. Multimedia Tools and Applications, 25(1):5–35, 2005. [30] X. Zhu, X. Wu, A. K. Elmagarmid, Z. Feng, and L. Wu. Video Data Mining: Semantic Indexing and Event Detection from the Association Perspective. IEEE Transactions on Knowledge and Data Engineering, 17(5):665–677, 2005. [31] L. Xie, S. Chang, A. Divakaran, and H. Sun. Structure Analysis of Soccer Video with Hidden Markov Models. In IEEE International Conference Acoustics, Speech, and Signal Processing (ICASSP), 2002. [32] Y. Rui, A. Gupta, and A. Acero. Automatically Extracting Highlights for TV Baseball Programs. In ACM Multimedia, pages 105–115, 2000. [33] G. Zhu, Q. Huang, C. Xu, Y. Rui, S. Jiang, W. Gao, and H. Yao. Trajectory based event tactics analysis in broadcast sports video. In MULTIMEDIA ’07: Proceedings of the 15th international conference on Multimedia, pages 58–67, 2007. [34] S. S. Intille and A. F. Bobick. Recognizing Planned, Multiperson Action. Computer Vision and Image Understanding: CVIU, 81(3):414–445, 2001. [35] F. Li and R. J. Woodham. Analysis of Player Actions in Selected Hockey Game Situations. In Proceedings of the The 2nd Canadian Conference on Computer and Robot Vision (CRV’05), Canada, pages 152–159, 2005. [36] M. Jug, J. Perˇs, B. Deˇzman, and S. Kovačič. Trajectory Based Assessment of Coordinated Human Activity. In Computer Vision Systems, Proceedings of Third International Conference ICVS 2003, pages 534–543, Graz, Austria, April 2003. [37] J. Perˇs. Analiza človeˇskega gibanja na različnih nivojih podrobnosti z metodami računalniˇskega vida. PhD thesis, Univerza v Ljubljani, Fakulteta za elektrotehniko, 2004. [38] Marko Jug. Analiza taktičnih značilnosti napada v koˇsarki na osnovi trajektorij igralcev. Master’s thesis, Fakulteta za elektrotehniko, Univeza v Ljubljani, 2002.
- Page 80 and 81: 62 Razpoznavanje aktivnosti 0.9 0.8
- Page 82 and 83: Poglavje 5 Ocenjevanje izvedbe akti
- Page 84 and 85: 66 Ocenjevanje izvedbe aktivnosti z
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- Page 118 and 119: Poglavje 6 Prototipni sistem za ana
- Page 120 and 121: 102 Prototipni sistem za analizo mo
- Page 122 and 123: 104 Prototipni sistem za analizo mo
- Page 124 and 125: 106 Zaključki Prispevek 1: Metoda
- Page 126 and 127: 108 Zaključki je mogoče iz ˇsabl
- Page 128 and 129: Literatura 110 [1] L. Wang, W. Hu,
- Page 132 and 133: 114 Literatura [39] F. Li. Descript
- Page 134 and 135: 116 Literatura [59] W. S. Erdmann.
- Page 136 and 137: 118 Literatura [81] Kurt Jensen. Co
- Page 138 and 139: 120 Literatura [104] Nikola Paveˇs
- Page 140 and 141: 122 Dodatek ˇSablona ”Motion”
- Page 142 and 143: 124 Dodatek ˇSablona ”Middle”
- Page 144 and 145: 126 Dodatek Aktivnost Korespondenca
- Page 146 and 147: 128 Dodatek ˇSablone akt 52 fl mot
- Page 148 and 149: 130 Dodatek p(xj|Θ) = = K αk · N
- Page 150 and 151: 132 Dodatek C.2.1 Linearna klasifik
- Page 152 and 153: 134 Dodatek −γ||xi−xj|| 2 KRBF
- Page 154 and 155: 136 Dodatek tega pa predvidimo tudi
- Page 156 and 157: 138 Dodatek pa spremenljivka zavzam
- Page 158 and 159: 140 Dodatek • preslikava I : P
- Page 160 and 161: 142 Dodatek koraku lahko tako pride
- Page 162 and 163: 144 Dodatek
- Page 164 and 165: 146 Izobrazba ˇ Zivljenjepis 1998
- Page 166 and 167: 148 Objavljena dela [7] M. Perˇse,
- Page 168 and 169: 150 Objavljena dela [22] J. Perˇs,
Literatura 113<br />
[29] C.G.M. Snoek and M. Worring. Multimodal Video Indexing: A Review of<br />
the State-of-the-art. Multimedia Tools and Applications, 25(1):5–35, 2005.<br />
[30] X. Zhu, X. Wu, A. K. Elmagarmid, Z. Feng, and L. Wu. Video Data Mining:<br />
Semantic Indexing and Event Detection from the Association Perspective.<br />
IEEE Transactions on Knowledge and Data Engineering, 17(5):665–677,<br />
2005.<br />
[31] L. Xie, S. Chang, A. Divakaran, and H. Sun. Structure Analysis of Soccer<br />
Video with Hidden Markov Models. In IEEE International Conference<br />
Acoustics, Speech, and Signal Processing (ICASSP), 2002.<br />
[32] Y. Rui, A. Gupta, and A. Acero. Automatically Extracting Highlights for<br />
TV Baseball Programs. In ACM Multimedia, pages 105–115, 2000.<br />
[33] G. Zhu, Q. Huang, C. Xu, Y. Rui, S. Jiang, W. Gao, and H. Yao. Trajectory<br />
based event tactics analysis in broadcast sports video. In MULTIMEDIA<br />
’07: Proceedings of the 15th international conference on Multimedia, pages<br />
58–67, 2007.<br />
[34] S. S. Intille and A. F. Bobick. Recognizing Planned, Multiperson Action.<br />
Computer Vision and Image Understanding: CVIU, 81(3):414–445, 2001.<br />
[35] F. Li and R. J. Woodham. Analysis of Player Actions in Selected Hockey<br />
Game Situations. In Proceedings of the The 2nd Canadian Conference on<br />
Computer and Robot Vision (CRV’05), Canada, pages 152–159, 2005.<br />
[36] M. Jug, J. Perˇs, B. Deˇzman, and S. Kovačič. Trajectory Based Assessment<br />
of Coordinated Human Activity. In Computer Vision Systems, Proceedings<br />
of Third International Conference ICVS 2003, pages 534–543, Graz,<br />
Austria, April 2003.<br />
[37] J. Perˇs. Analiza človeˇskega <strong>gibanja</strong> na različnih nivojih podrobnosti z<br />
metodami računalniˇskega vida. PhD thesis, Univerza v Ljubljani, Fakulteta<br />
za elektrotehniko, 2004.<br />
[38] Marko Jug. Analiza taktičnih značilnosti napada v koˇsarki na osnovi<br />
trajektorij igralcev. Master’s thesis, Fakulteta za elektrotehniko, Univeza<br />
v Ljubljani, 2002.