Recognizing Multi-Agent Activities from GPS Data

Proceedings of the 24th AAAI Conference on Artificial Intelligence, AAAI 2010

Volumn , Issue , 2010, Pages 1134-1139

  Sadilek, Adam ^a   Kautz, Henry ^a  

^a University of Rochester   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATION THEORY; COMPUTER GAMES; GLOBAL POSITIONING SYSTEM; HIGH LEVEL LANGUAGES; MULTI AGENT SYSTEMS;

AGENT ACTIVITIES; CAPTURE THE FLAG; GPS DATA; HUMAN BEHAVIORS; JOINT ACTIVITY; MULTI AGENT; REAL-WORLD; RECENT RESEARCHES; STATISTICAL PROPERTIES; UNIFIED APPROACH;

BEHAVIORAL RESEARCH;

EID: 85167405164     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. Abowd, G. D.; Atkeson, C. G.; Hong, J.; Long, S.; Kooper, R.; and Pinkerton, M. 1997. Cyberguide: a mobile context-aware tour guide. Wirel. Netw. 3(5):421-433.
2. Biswas, R.; Thrun, S.; and Fujimura, K. 2007. Recognizing activities with multiple cues. In Workshop on Human Motion, 255-270.
3. Bui, H. H. 2003. A general model for online probabilistic plan recognition. In IJCAI-2003.
4. Eagle, N., and Pentland, A. 2006. Reality mining: sensing complex social systems. Personal and Ubiquitous Computing 10(4).
5. Gupta, A.; Srinivasan, P.; Shi, J.; and Davis, L. 2009. Understanding videos, constructing plots learning a visually grounded storyline model from annotated videos. In CVPR09.
6. Kersting, K.; De Raedt, L.; and Raiko, T. 2006. Logical hidden Markov models. J. Artif. Int. Res. 25(1):425-456.
7. Liao, L.; Fox, D.; and Kautz, H. 2004. Learning and inferring transportation routines. In Proceedings of the Nineteenth National Conference on Artificial Intelligence.
8. Liao, L.; Fox, D.; and Kautz, H. 2005. Location-based activity recognition using relational Markov networks. In IJCAI-2005.
9. Limketkai, B.; Fox, D.; and Liao, L. 2007. CRF-filters: discriminative particle filters for sequential state estimation. In IEEE International Conference on Robotics and Automation, 3142-3147.
10. Richardson, M., and Domingos, P. 2006. Markov logic networks. Mach. Learn. 62(1-2):107-136.
11. Riedel, S. 2008. Improving the accuracy and efficiency of MAP inference for Markov logic. In UAI-08, 468-475.
12. Shakarian, P.; Subrahmanian, V.; and Spaino, M. L. 2009. SCARE: A case study with baghdad. In ICCCD-2009.
13. Tran, S., and Davis, L. 2008. Visual event modeling and recognition using Markov logic networks. In Proceedings of the 10th European Conference on Computer Vision.
14. Wyatt, D.; Choudhury, T.; Bilmes, J.; and Kautz, H. 2007. A privacy-sensitive approach to modeling multi-person conversations. In IJCAI-2007.