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» Markov Random Field Models in Computer Vision
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ICPR
2002
IEEE
16 years 2 months ago
Recognition of Gestures in the Context of Speech
The scope of this paper is the interpretation of a user's intention via a video camera and a speech recognizer. In comparison to previous work which only takes into account g...
Matthieu Bray, Hedvig Sidenbladh, Jan-Olof Eklundh
ICPR
2004
IEEE
16 years 2 months ago
Joint Spatial and Temporal Structure Learning for Task based Control
We present an example of a joint spatial and temporal task learning algorithm that results in a generative model that has applications for on-line visual control. We review work o...
Hilary Buxton, Kingsley Sage
CVPR
2003
IEEE
15 years 7 months ago
Bayesian Human Segmentation in Crowded Situations
Problem of segmenting individual humans in crowded situations from stationary video camera sequences is exacerbated by object inter-occlusion. We pose this problem as a “model-b...
Tao Zhao, Ramakant Nevatia
BMVC
2001
15 years 4 months ago
Classifying Surveillance Events from Attributes and Behaviour
In order to develop a high-level description of events unfolding in a typical surveillance scenario, each successfully tracked event must be classified into type and behaviour. I...
Paolo Remagnino, Graeme A. Jones
ICCV
2009
IEEE
14 years 11 months ago
Exploiting uncertainty in random sample consensus
In this work, we present a technique for robust estimation, which by explicitly incorporating the inherent uncertainty of the estimation procedure, results in a more efficient rob...
Rahul Raguram, Jan-Michael Frahm, Marc Pollefeys