1427 search results - page 173 / 286 » Markov Random Field Models in Computer Vision |
102
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IROS
2007
IEEE
15 years 8 months ago
2007
IEEE
— This paper presents a general framework for multi-sensor object recognition through a discriminative probabilistic approach modelling spatial and temporal correlations. The alg...
126
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CVPR
1999
IEEE
16 years 3 months ago
1999
IEEE
We present a novel mixed-state dynamic Bayesian network (DBN) framework for modeling and classifying timeseries data such as object trajectories. A hidden Markov model (HMM) of di...
96
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CVPR
2004
IEEE
16 years 3 months ago
2004
IEEE
This paper presents new results in the field of video coding and compression using 3D information. Contrary to prior art in 3D model-based coding where 3D models have to be known,...
130
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ECCV
2008
Springer
16 years 3 months ago
2008
Springer
Abstract. This paper presents a novel probabilistic approach to integrating multiple cues in visual tracking. We perform tracking in different cues by interacting processes. Each p...
142
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CORR
2012
Springer
13 years 9 months ago
2012
Springer
Abstract— In this paper, we consider a class of continuoustime, continuous-space stochastic optimal control problems. Building upon recent advances in Markov chain approximation ...