Simultaneous Tracking and Activity Recognition with Relational Dynamic Bayesian Networks
暂无分享,去创建一个
David J. Fleet | Sandra Zilles | Howard J. Hamilton | Cristina E. Manfredotti | Sandra Zilles | C. Manfredotti
[1] Wolfram Burgard,et al. Probabilistic Robotics (Intelligent Robotics and Autonomous Agents) , 2005 .
[2] Aaron F. Bobick,et al. Recognition of Visual Activities and Interactions by Stochastic Parsing , 2000, IEEE Trans. Pattern Anal. Mach. Intell..
[3] Larry S. Davis,et al. Event Modeling and Recognition Using Markov Logic Networks , 2008, ECCV.
[4] Neil J. Gordon,et al. A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking , 2002, IEEE Trans. Signal Process..
[5] Alexei A. Efros,et al. Putting Objects in Perspective , 2006, CVPR.
[6] David J. Fleet,et al. Probabilistic Detection and Tracking of Motion Boundaries , 2000, International Journal of Computer Vision.
[7] Manfred Jaeger,et al. Relational Bayesian Networks , 1997, UAI.
[8] Enza Messina,et al. Relational Dynamic Bayesian Networks to Improve Multi-target Tracking , 2009, ACIVS.
[9] Cristina E. Manfredotti,et al. Modeling and Inference with Relational Dynamic Bayesian Networks , 2009, Canadian AI.
[10] Pedro M. Domingos,et al. A General Method for Reducing the Complexity of Relational Inference and its Application to MCMC , 2008, AAAI.
[11] Daphne Koller,et al. Learning Object Shape: From Drawings to Images , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[12] Lawrence R. Rabiner,et al. A tutorial on hidden Markov models and selected applications in speech recognition , 1989, Proc. IEEE.
[13] Michael Isard,et al. A mixed-state condensation tracker with automatic model-switching , 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).
[14] Stuart J. Russell,et al. General-Purpose MCMC Inference over Relational Structures , 2006, UAI.
[15] Lise Getoor,et al. Learning Probabilistic Relational Models , 1999, IJCAI.
[16] Ben Taskar,et al. Learning Probabilistic Models of Link Structure , 2003, J. Mach. Learn. Res..
[17] Y. Bar-Shalom. Tracking and data association , 1988 .