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MVA
2007
179views Computer Vision» more  MVA 2007»
13 years 7 months ago
Multi-object trajectory tracking
The majority of existing tracking algorithms are based on the maximum a posteriori (MAP) solution of a probabilistic framework using a Hidden Markov Model, where the distribution ...
Mei Han, Wei Xu, Hai Tao, Yihong Gong
COLT
1994
Springer
13 years 11 months ago
Learning Probabilistic Automata with Variable Memory Length
We propose and analyze a distribution learning algorithm for variable memory length Markov processes. These processes can be described by a subclass of probabilistic nite automata...
Dana Ron, Yoram Singer, Naftali Tishby
IJCAI
2001
13 years 8 months ago
Mode Estimation of Model-based Programs: Monitoring Systems with Complex Behavior
Deductive, mode-estimation has become an essential component of robotic space systems, like NASA's deep space probes. Future robots will serve as components of large robotic ...
Brian C. Williams, Seung Chung, Vineet Gupta
SSPR
2004
Springer
14 years 24 days ago
Understanding Human-Computer Interactions in Map Revision
Abstract. It is difficult to track, parse and model human-computer interactions during editing and revising of documents, but it is necessary if we are to develop automated technol...
Jun Zhou, Walter F. Bischof, Terry Caelli
ICCV
2005
IEEE
14 years 1 months ago
Fast Texture-Based Tracking and Delineation Using Texture Entropy
We propose a fast texture-segmentation approach to the problem of 2-D and 3–D model-based contour tracking, which is suitable for real-time or interactive applications. Our appr...
Ali Shahrokni, Tom Drummond, Pascal Fua