Publications

• Parameterized duration modeling for switching linear dynamic systems Sang Min Oh, James M. Rehg, Frank Dellaert, IEEE 2006 International Conference on Computer Vision and Pattern Recognition (CVPR 2006), NYC.
• Learning and Inferring Motion Patterns using Parametric Segmental Switching Linear Dynamic Systems Sang Min Oh, James M. Rehg, Tucker Balch, Frank Dellaert, Accepted to International Journal of Computer Vision (IJCV) Special Issue on Learning for Vision (2007).
• How A.I. and multi-robot systems research will accelerate our understanding of social animal behavior T. Balch, F. Dellaert, A. Feldman, A. Guillory, C. Isbell, Z. Khan, S. Pratt, A. Stein, H. Wilde. Proceedings of the IEEE (in press), 2005.
• MCMC-Based Particle Filtering for Tracking a Variable Number of Interacting Targets Z. Khan, T. Balch, and F. Dellaert, IEEE Transactions on Pattern Analysis and Machine Intelligence, (in press), 2005.
• Learning and Inference in Parametric Switching Linear Dynamical Systems. Sang Min Oh, James M. Rehg, Tucker Balch, Frank Dellaert, to appear in Proceedings of IEEE International Conference on Computer Vision (ICCV-05), 2005.
• Data-Driven MCMC for Learning and Inference in Switching Linear Dynamic Systems. Sang Min Oh, James M. Rehg, Tucker Balch, Frank Dellaert, in Proceedings of Twentieth National Conference on Artificial Inteliigence (AAAI-05), 2005.
• Mixture Trees for Modeling and Fast Conditional Sampling with Applications in Vision and Graphics. Frank Dellaert, Vivek Kwatra, Sang Min Oh, in Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005.
• A Variational Inference Method for Switching Linear Dynamic Systems. Sang Min Oh, Ananth Ranganathan, James M. Rehg, Frank Dellaert, Technical Report GIT-GVU-05-16, 2005.
• Multitarget Tracking with Split and Merged Measurements Z. Khan, T. Balch, and F. Dellaert, IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), 2005. To appear.
• What Are the Ants Doing? Vision-Based Tracking and Reconstruction of Control Programs. M. Egerstedt, T. Balch, F. Dellaert, F. Delmotte, and Z. Khan. IEEE Conference on Robotics and Automation, Barcelona, Spain, Apr. 2005. To appear.
• Robust Generative Subspace Modeling: The Subspace t Distribution Z. Khan and F. Dellaert, Georgia Institute of Technology GVU Center, GIT-GVU-04-11, 2004.
• Representing Honey Bee Behavior for Recognition Using Human Trainable Models, Feldman, A., Balch, T., Adaptive Behavior, December 2004.
• Modeling Honey Bee Behavior for Recognition Using Human Trainable Models, Feldman, A., Balch, T., Modeling Other Agents from Observations (Workshop at AAMAS), New York City, 2004.
• A 3-d Visual Tracking System for the Study of Spatial Navigation and Memory in Rhesus Monkeys Z. Khan, R. A. Herman, K. Wallen, and T. Balch, submitted to Behavior Research Methods, Instruments & Computers, 2004.
• A Rao-Blackwellized Particle Filter for EigenTracking Z. Khan, T. Balch, and F. Dellaert, IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'04), 2004.
• An MCMC-based Particle Filter for Tracking Multiple Interacting Targets, Z. Khan, T. Balch, and F. Dellaert, European Conferance on Computer Vision (ECCV'04), in press, 2004.
• An MCMC-based Particle Filter for Tracking Multiple Interacting Targets, Z. Khan, T. Balch, and F. Dellaert, Georgia Institute of Technology GVU Center, GIT-GVU-03-35, 2003.
• Automatic Identification of Bee Movement Using Human Trainable Models of Behavior, Feldman, A., Balch, T., Mathematics and Algorithms of Social Insects, December 2003.
• Efficient Particle Filter-Based Tracking of Multiple Interacting Targets Using an MRF-based Motion Model, Z. Khan, T. Balch, and F. Dellaert, to appear in Proceedings of the 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'03), 2003.
• Automatically Tracking and Analyzing the Behavior of Social Insect Colonies, Tucker Balch, Zia Khan and Manuela Veloso Autonomous Agents, 2001.
• Fast and inexpensive color image segmentation for interactive robots, Bruce, J., Balch, T. and Veloso, M. IROS-2000, to appear. (similar version presented at WIRE-2000 workshop).
• Hierarchic social entropy: an information theoretic measure of robot team diversity, Balch, T., Autonomous Robots, July 2000.

Related Work

• Inspiration for optimization from social insect behavior, Bonabeau, Dorigo and Theraulaz, 2000. Nature. July 6, 2000.
• The expandable network of ant exploration, Gordon, Deborah. 1995. Animal Behavior. 50, 995-1007.
• Ant search behavior analysis with a video frame grabber, Fourcassie VJL, Traniello JFA. 1995. Insectes Sociaux 42: 249-254.