Robust recognition of physical team behaviors using spatio-temporal models

Proceedings of the International Conference on Autonomous Agents

Volumn 2006, Issue , 2006, Pages 638-645

  Sukthankar, Gita ^a   Sycara, Katia ^a  

^a CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

HMMs; Multi agent plan recognition; RANSAC

Indexed keywords

MULTI AGENT PLAN RECOGNITION; SPATIAL MODELS; SPATIO-TEMPORAL MODELS; TEAM BEHAVIORS;

DATA STRUCTURES; HIDDEN MARKOV MODELS; PROJECT MANAGEMENT; ROBUST CONTROL; STATIC ANALYSIS;

PATTERN RECOGNITION;

EID: 34247241652     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1160633.1160746     Document Type: Conference Paper

References (19)

1. D. Ballard and C. Brown. Computer Vision. Prentice-Hall, 1982.
2. B. Best and C. Lebiere. Spatial plans, communication, and teamwork in synthetic MOUT agents. In Proceedings of Behavior Representation in Modeling and Simulation Conference (BRIMS), 2003.
3. R. Duda, P. Hart, and D. Stork. Pattern Classification. Wiley & Sons, Inc, 2001.
4. M. Fischler and R. Bolles. Random sample consensus: A paradigm for model fitting with application to image analysis and automated cartography. Communications of the ACM, 24(6), 1981.
5. R. Hartley and A. Zisserman. Multiple View Geometry in Computer Vision. Cambridge University Press, 2000.
6. S. Intille and A. Bobick. A framework for recognizing multi-agent action from visual evidence. In Proceedings of the National Conference on Artificial Intelligence (AAAI), 1999.
7. M. Jug, J. Pers, B. Dezman, and S. Kovacic. Trajectory based assessment of coordinated human activity. In Proceedings of the International Conference on Computer Vision Systems (ICVS), 2003.
8. G. Kaminka and M. Tambe. Robust agent teams via socially attentive monitoring. Journal of Artificial Intelligence Research, 12:pp.105-147, 2000.
9. G. Kaminka, M. Veloso, S. Schaffer, C. Sollitto, R. Adobbati, A. Marshall, A. Scholer, and S. Tejada. Gamebots: A flexible test bed for multiagent team research. Communications of the ACM, 45(1), 2002.
10. K. Murphy. The Bayes Net Toolbox for Matlab. Computing Science and Statistics, 33, 2001.
11. D. Pearson and J. Laird. Redux: Example-drive diagrammatic tools for rapid knowledge acquisition. In Proceedings of Behavior Representation in Modeling and Simulation Conference (BRIMS), 2004.
12. J. Phillips, M. McCloskey, P. McDermott, S. Wiggins, and D. Battaglia. Decision-centered MOUT training for small unit leaders. Technical Report 1776, U.S. Army Research Institute for Behavioral and Social Sciences, 2001.
13. L. Rabiner. A tutorial on Hidden Markov models and selected applications in speech recognition. Proceedings of the IEEE, 77, 1989.
14. P. Riley and M. Veloso. On behavior classification in adversarial environments. In L. Parker, G. Bekey, and J. Barhen, editors, Distributed Autonomous Robotic Systems 4. Springer-Verlag, 2000.
15. P. Riley and M. Veloso. Recognizing probabilistic opponent movement models. In A. Birk, S. Coradeschi, and S. Tadorokoro, editors, RoboCup-2001: Robot Soccer World Cup V. Springer Verlag, 2002.
16. S. Saria and S. Mahadevan. Probabilistic plan recognition in multiagent systems. In Proceedings of the International Conference on AI and Planning Systems (ICAPS), 2004.
17. G. Sukthankar. Thesis proposal: Activity recognition for physically-embodied agent teams. Technical Report CMU-RI-05-44, Robotics Institute, Carnegie Mellon, 2005.
18. M. Tambe. Tracking dynamic team activity. In Proceedings of the National Conference on Artificial Intelligence (AAAI), 1996.
19. G. Zu and Z. Zhang. Epipolar Geometry in Stereo, Motion, and Object Recognition. Kluwer, 1996.