Analysis of multi-agent activity using petri nets

Pattern Recognition

Volumn 43, Issue 4, 2010, Pages 1491-1501

  Perše, Matej ^a   Kristan, Matej ^a   Perš, Janez ^a   Mušič, Gašper ^a   Vučkovič, Goran ^a   Kovačič, Stanislav ^a  

^a UNIVERSITY OF LJUBLJANA   (Slovenia)

Author keywords

Activity recognition and evaluation; Basketball analysis; Multi agent activity analysis; Trajectories

Indexed keywords

ACTIVITY RECOGNITION; BASKETBALL ANALYSIS; DOMAIN-SPECIFIC KNOWLEDGE; MULTI-AGENT; PLACE/TRANSITION PETRI NETS; PROBABILISTIC MODELS; TEMPORAL PROPERTY; TEMPORAL RELATION; TRAJECTORY-BASED;

GRAPH THEORY; PETRI NETS;

MULTI AGENT SYSTEMS;

EID: 74449092288     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2009.11.011     Document Type: Article

References (32)

1. C. Castel, L. Chaudron, C. Tessier, What is going on? A high level interpretation of sequences of images, in: Proceedings of the Workshop on Conceptual Descriptions from Images (ECCV, 96), 1996, pp. 13-27.
2. Cedras C., and Shah M.A. Motion-based recognition: a survey. Image and Vision Computing (IVC) 13 2 (1995) 129-155
3. Moeslund B.T., and Granum E. A survey of computer vision-based human motion capture. Computer Vision and Image Understanding: CVIU 81 3 (2001) 231-268
4. J.K. Aggarwal, S. Park, Human motion: modeling and recognition of actions and interactions, in: 3DPVT '04: Proceedings of the 2nd International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT'04), 2004, pp. 640-647.
5. Moeslund B.T., Hilton A., and Krüger V. A survey of advances in vision-based human motion capture and analysis, Special issue on modeling people: vision-based understanding of a person's shape, appearance, movement, and behaviour. Computer Vision and Image Understanding 104 2 (2006) 90-126
6. Intille S.S., and Bobick A.F. Recognizing planned, multiperson action. Computer Vision and Image Understanding: CVIU 81 3 (2001) 414-445
7. M. Perše, J. Perš, M. Kristan, S. Kovačič, Automatic evaluation of organized basketball activity, in: M. Grabner, H. Grabner (Eds.), Computer Vision Winter Workshop 2007, St. Lambrecht, Austria, 2007, pp. 11-18.
8. J. Muncaster, Y. Ma, Activity recognition using dynamic Bayesian networks with automatic state selection, in: IEEE Workshop on Motion and Video Computing, 2007, WMVC '07, Austin, TX, USA, 2007, 30 pp.
9. Du Y., Chen F., and Xu W. Human interaction representation and recognition through motion decomposition. IEEE Signal Processing Letters 14 12 (2007) 952-955
10. Duong T., Bui H., Phung D., and Venkatesh S. Activity recognition and abnormality detection with the switching hidden semi-Markov model. Proceedings of CVPR '05 (2005) 838-845
11. Mccowan I., Gatica-Perez D., Bengio S., Lathoud G., Barnard M., and Zhang D. Automatic analysis of multimodal group actions in meetings. IEEE Transactions on Pattern Analysis and Machine Intelligence 27 (2005) 305-317
12. Shi Y., Huang Y., Minnen D., Bobick A., and Essa I. Propagation networks for recognition of partially ordered sequential action. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004) (2004), IEEE Computer Society 862-870
13. Shi Y., Bobick A., and Essa I. Learning temporal sequence model from partially labeled data. CVPR'06 (2006), IEEE Computer Society
14. Johnson H., and Hogg D. Representation and synthesis of behavior using gaussian mixtures. Image and Vision Computing 20 (2002) 889-894
15. Bobick A., and Ivanov Y. Action recognition using probabilistic parsing. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (1998) 196-202
16. Nair V., and Clark J. Automated visual surveillance using hidden Markov models. VI02-International Conference on Vision Interface (2002) 88-93
17. F. Li, R.J. Woodham, Analysis of player actions in selected hockey game situations, in: Proceedings of the 2nd Canadian Conference on Computer and Robot Vision (CRV'05), Canada, 2005, pp. 152-159.
18. K. Jensen, Coloured Petri Nets: Basic Concepts, Analysis Methods and Practical Use, vol. 1, Springer, Berlin, 1997.
19. Marsan M., Balbo G., Conte G., Donatelli S., and Franceschinis G. Modelling with Generalized Stochastic Petri Nets (1998), Wiley, New York
20. P.J. Haas, Stochastic Petri Nets-Modelling, Stability, Simulation, in: Springer Series in Operations Research and Financial Engineering, 2002.
21. G. Lavee, A. Borzin, E. Rivlin, M. Rudzsky, Building Petri Nets from Video Event Ontologies, in: ISVC07, 2007, pp. 442-451.
22. N. Ghanem, D. DeMenthon, D. Doermann, L. Davis, Representation and recognition of events in surveillance video using petri nets, in: EventVideo04, 2004, pp. 112-120.
23. J. Kresse, R. Jablonski, The Complete Book of Man-To-Man Offense, second ed., Coaches Choice, 2004.
24. J. Pers, M. Bon, S. Kovacic, Errors and mistakes in automated player tracking, in: Proceedings of the Sixth Computer Vision Winter Workshop, CVWW'01, Bled, Slovenia, 2001, pp. 25-36.
25. J. Perš, M. Bon, S. Kovačič, M. Šibila, B. Dežman, Observation and analysis of large-scale human motion, Human Movement Science 21 (2) (2002) 295-331.
26. Kristan M., Perš J., Perše M., and Kovačič S. Closed-world tracking of multiple interacting targets for indoor-sports applications. Computer Vision and Image Understanding 113 (2009) 598-611
27. M. Perše, M. Kristan, J. Perš, G. Vučkovič, S. Kovačič, Physics-based modelling of human motion using kalman filter and collision avoidance algorithm, in: International Symposium on Image and Signal Processing and Analysis, ISPA05, Zagreb, Croatia, 2005, pp. 328-333.
28. J. Perš, M. Kristan, M. Perše, S. Kovačič, ECCV 2008 videos: analysis of player motion in sport games 〈http://eccv2008.inrialpes.fr/videos/videos_newformat/pers-kristan-kovacic.avi〉.
29. J. Perš, S. Kovačič, Tracking people in sport: Making use of partially controlled environment, in: 9th International Conference on Computer Analysis of Images and Patterns, CAIP 2001, Lecture Notes in Computer Science, vol. 2124, 2001, pp. 374-382.
30. Perše M., Kristan M., Perš J., Vučkovič G., and Kovačič S. A trajectory-based analysis of coordinated team activity in a basketball game. Computer Vision and Image Understanding 113 (2009) 612-621
31. G. Mušiè, T. Löscher, D. Gradišar, An open petri net modelling and analysis environment in Matlab, in: I3M, 2006, pp. 123-128.
32. Trajectory-based analysis of team sports; petri-net demos: 〈http://vision.fe.uni-lj.si/research/sporta/pn.html〉.