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» Statistical Models of Appearance for Computer Vision
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ICIG
2009
IEEE
14 years 9 months ago
Statistical Modeling of Optical Flow
Optical flow estimation is one of the main subjects in computer vision. Many methods developed to compute the motion fields are built using standard heuristic formulation. In this...
Dongmin Ma, Véronique Prinet, Cyril Cassisa
BMVC
2001
15 years 2 months ago
New Area Based Metrics for Automatic Gait Recognition
Gait is a new biometric aimed to recognise a subject by the manner in which they walk. Gait has several advantages over other biometrics, most notably that it is non-invasive and ...
Jeff P. Foster, Mark S. Nixon, Adam Prügel-Be...
ICCV
2011
IEEE
13 years 12 months ago
An adaptive coupled-layer visual model for robust visual tracking
This paper addresses the problem of tracking objects which undergo rapid and significant appearance changes. We propose a novel coupled-layer visual model that combines the targe...
Luka Cehovin, Matej Kristan, Ales Leonardis
ICCV
2003
IEEE
16 years 1 months ago
Learning Pedestrian Models for Silhouette Refinement
We present a model-based method for accurate extraction of pedestrian silhouettes from video sequences. Our approach is based on two assumptions, 1) there is a common appearance t...
L. Lee, Gerald Dalley, Kinh Tieu
ICPR
2008
IEEE
15 years 6 months ago
Detecting queues at vending machines: A statistical layered approach
This paper presents a method for monitoring activities at a ticket vending machine in a video-surveillance context. Rather than relying on the output of a tracking module, which i...
Xavier Naturel, Jean-Marc Odobez