avtomatska analiza gibanja v izbranih moštvenih športnih igrah

avtomatska analiza gibanja v izbranih moštvenih športnih igrah avtomatska analiza gibanja v izbranih moštvenih športnih igrah

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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.

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.

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