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TIP
2008
344views more  TIP 2008»
14 years 11 months ago
A Self-Organizing Approach to Background Subtraction for Visual Surveillance Applications
Detection of moving objects in video streams is the first relevant step of information extraction in many computer vision applications. Aside from the intrinsic usefulness of being...
Lucia Maddalena, Alfredo Petrosino
IVC
2002
148views more  IVC 2002»
14 years 11 months ago
Detecting lameness using 'Re-sampling Condensation' and 'multi-stream cyclic hidden Markov models'
A system for the tracking and classification of livestock movements is presented. The combined `tracker-classifier' scheme is based on a variant of Isard and Blakes `Condensa...
Derek R. Magee, Roger D. Boyle
ACCV
2010
Springer
14 years 6 months ago
Generic Object Class Detection Using Boosted Configurations of Oriented Edges
Abstract. In this paper we introduce a new representation for shapebased object class detection. This representation is based on very sparse and slightly flexible configurations of...
Oscar M. Danielsson, Stefan Carlsson
ICCV
2011
IEEE
13 years 12 months ago
Basis constrained 3D scene flow on a dynamic proxy
Existing scene flow approaches mainly focus on twoframe stereo-pair configurations and reconstruct an imagebased representation of scene flow. Instead, we propose a variational...
Neil Birkbeck, Martin Jagersand, Dana Cobzas
CVPR
2012
IEEE
13 years 2 months ago
Robust visual tracking using autoregressive hidden Markov Model
Recent studies on visual tracking have shown significant improvement in accuracy by handling the appearance variations of the target object. Whereas most studies present schemes ...
Dong Woo Park, Junseok Kwon, Kyoung Mu Lee