Automatic symbolic traffic scene analysis using belief networks

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Automatic symbolic traffic scene analysis using belief networks

Source

Proceedings of the twelfth national conference on Artificial intelligence (vol. 2) table of contents

Seattle, Washington, United States

Pages: 966 - 972

Year of Publication: 1994

ISBN:0-262-61102-3

Authors

T. Huang
D. Koller
J. Malik
G. Ogasawara
B. Rao
S. Russell
J. Weber

Publisher

American Association for Artificial Intelligence Menlo Park, CA, USA

Bibliometrics

Downloads (6 Weeks): n/a, Downloads (12 Months): n/a, Citation Count: 13

Additional Information:

cited by index terms collaborative colleagues

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CITED BY 13

	Hung H. Bui , Svetha Venkatesh , Geoff West, Tracking and surveillance in wide-area spatial environments using the abstract hidden Markov model, Hidden Markov models: applications in computer vision, World Scientific Publishing Co., Inc., River Edge, NJ, 2001
	Nuria M. Oliver , Barbara Rosario , Alex P. Pentland, A Bayesian Computer Vision System for Modeling Human Interactions, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.22 n.8, p.831-843, August 2000
	Shu-Ching Chen , Mei-Ling Shyu , Chengcui Zhang , Jeff Strickrott, A Multimedia Data Mining Framework: Mining Information from Traffic Video Sequences, Journal of Intelligent Information Systems, v.19 n.1, p.61-77, July 2002
	Umut Akdemir , Pavan Turaga , Rama Chellappa, An ontology based approach for activity recognition from video, Proceeding of the 16th ACM international conference on Multimedia, October 26-31, 2008, Vancouver, British Columbia, Canada
	Eric Wolbrecht , Bruce D'ambrosio , Robert Paasch , Doug Kirby, Monitoring and diagnosis of a multistage manufacturing process using Bayesian networks, Artificial Intelligence for Engineering Design, Analysis and Manufacturing, v.14 n.1, p.53-67, January 2000
	Manfred Jaeger, Complex Probabilistic Modeling with Recursive Relational Bayesian Networks, Annals of Mathematics and Artificial Intelligence, v.32 n.1-4, p.179-220, August 2001
	Ahmed Y. Tawfik , Shakil Khan, Temporal Relevance in Dynamic Decision Networks with Sparse Evidence, Applied Intelligence, v.23 n.2, p.87-96, October 2005
	D. A. Forsyth , J. Haddon , S. Ioffe, The Joy of Sampling, International Journal of Computer Vision, v.41 n.1-2, p.109-134, January-February 2001
	Mohamed F. Abdelkader , Amit K. Roy-Chowdhury , Rama Chellappa , Umut Akdemir, Activity representation using 3D shape models, Journal on Image and Video Processing, v.8 n.2, p.1-16, January 2008
	Pavan Turaga , Ashok Veeraraghavan , Rama Chellappa, Unsupervised view and rate invariant clustering of video sequences, Computer Vision and Image Understanding, v.113 n.3, p.353-371, March, 2009
	Xin Chen , Chengcui Zhang , Shu-Ching Chen , Stuart Rubin, A human-centered multiple instance learning framework for semantic video retrieval, IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, v.39 n.2, p.228-233, March 2009
	Jeff Forbes , Tim Huang , Keiji Kanazawa , Stuart Russell, The BATmobile: towards a Bayesian automated taxi, Proceedings of the 14th international joint conference on Artificial intelligence, p.1878-1885, August 20-25, 1995, Montreal, Quebec, Canada
	Ashok Veeraraghavan , Anuj Srivastava , Amit K. Roy-Chowdhury , Rama Chellappa, Rate-invariant recognition of humans and their activities, IEEE Transactions on Image Processing, v.18 n.6, p.1326-1339, June 2009