Representing honey bee behavior for recognition using human trainable models

Adaptive Behavior

Volumn 12, Issue 3-4, 2004, Pages 241-250

  Feldman, Adam ^a,b   Balch, Tucker ^a,c,d  

^a Georgia Institute of Technology   (United States)

^b CASE WESTERN RESERVE UNIVERSITY   (United States)

^c GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

^d CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

Bee movements; Behavior recognition; Behavioral models; Biological inspiration; Hidden Markov models

Indexed keywords

ANIMALIA; APIS MELLIFERA; APOIDEA; HEXAPODA; INSECTA;

EID: 12344281467     PISSN: 10597123     EISSN: None     Source Type: Journal    
DOI: 10.1177/105971230401200309     Document Type: Conference Paper

References (10)

1. Brashear, H., Starner, T., Luckowicz, P., & Junker, H. (2003). Using multiple sensors for mobile sign language recognition. In S. Feiner and D. Mizell Proceedings of IEEE International Symposium on Wearable Computing. Los Alamitos, CA: IEEE Computer Society Press.
2. Bruce, J., Balch, T., & Veloso, M. (2000). Fast and inexpensive color image segmentation for interactive robots. Proceedings of IROS-2000. Piscataway, NJ: IEEE Press.
3. Couzin, I. D. & Franks, N. R. (2003) Self-organized lane formation and optimized traffic flow in army ants. Proceedings of The Royal Society, Biological Sciences, 270, 139-146.
4. von Frisch, K. (1967). The dance language and orientation of bees. Cambridge, MA: Harvard University Press.
5. Han, K., & Veloso, M. (1999). Automated robot behavior recognition applied to robotic soccer. In T. Dean (Ed.), Proceedings of IJCAI-99 Workshop on Team Behaviors and Plan Recognition. Menlo Park, CA: AAAI Press.
6. Khan, Z., Balch, T., & Dellaert, F. (2003). Efficient particle filter-based tracking of multiple interacting targets using an MRF-based motion model. In J. Yuh, (Ed.), 2003 IEEE/ RSJ International Conference on Intelligent Robots and Systems (IROS'03). Piscataway, NJ: IEEE Press.
7. Mitchell, T. (1997). Machine learning. Boston, MA: MIT Press/McGraw-Hill.
8. Rabiner, L. R. (1989). A tutorial on hidden Markov models and selected applications in speech recognition. Proceedings of IEEE, 77(2), 257-286.
9. Seeley, T. (1995). The wisdom of the hive: The social physiology of honey bee colonies. Cambridge, MA: Harvard University Press.
10. Westeyn, T., Brashear, H., Atrash, A., & Starner, T. (2003). Georgia Tech Gesture toolkit: Supporting experiments in gesture recognition. In T. Darrel, M. Maybury and W. Wahlster (Eds.), ICMI'03. New York, NY: ACM Press.