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» Likelihood Map Fusion for Visual Object Tracking
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ICIP
2008
IEEE
14 years 9 months ago
Feature-based object modelling for visual surveillance
This paper introduces a new feature-based technique for implicitly modelling objects in visual surveillance. Previous work has generally employed background subtraction and other ...
Gary Baugh, Anil C. Kokaram
ICCV
2009
IEEE
1052views Computer Vision» more  ICCV 2009»
15 years 9 days ago
A direct approach for efficiently tracking with 3D Morphable Models
We present an efficient algorithm for fitting a morphable model to an image sequence. It is built on a projective geometry formulation of perspective projection, which results in a...
Enrique Muñoz, José M. Buenaposada, Luis Baumela
ICPR
2002
IEEE
14 years 15 days ago
A Support System for Visually Impaired Persons to Understand Three-dimensional Visual Information Using Acoustic Interface
Visual information processing technology is very important in the implementation for sensory substitution of visually impaired persons as well as applications to factory automatio...
Yoshihiro Kawai, Fumiaki Tomita
CRV
2006
IEEE
187views Robotics» more  CRV 2006»
13 years 11 months ago
Confidence Based updation of Motion Conspicuity in Dynamic Scenes
Computational models of visual attention result in considerable data compression by eliminating processing on regions likely to be devoid of meaningful content. While saliency map...
Vivek Kumar Singh, Subhransu Maji, Amitabha Mukerj...
PAMI
2002
150views more  PAMI 2002»
13 years 7 months ago
Object Tracking with Bayesian Estimation of Dynamic Layer Representations
Decomposing video frames into coherent two-dimensional motion layers is a powerful method for representing videos. Such a representation provides an intermediate description that e...
Hai Tao, Harpreet S. Sawhney, Rakesh Kumar