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ICPR
2004
IEEE
16 years 5 months ago
Skin Detection: A Bayesian Network Approach
The automated detection and tracking of humans in computer vision necessitates improved modeling of the human skin appearance. In this paper we propose a Bayesian network approach...
Ira Cohen, Nicu Sebe, Theo Gevers, Thomas S. Huang
WACV
2002
IEEE
15 years 9 months ago
Retrieving Faces by the PIFS Fractal Code
The use of fractals in computer graphics and vision in modeling unstructured images, and compressing images, is well known. However, the use of fractals for indexing images in con...
Sharat Chandran, Soumitra Kar
ACCV
2010
Springer
14 years 11 months ago
A Heuristic Deformable Pedestrian Detection Method
Pedestrian detection is an important application in computer vision. Currently, most pedestrian detection methods focus on learning one or multiple fixed models. These algorithms r...
Yongzhen Huang, Kaiqi Huang, Tieniu Tan
CVPR
1998
IEEE
16 years 6 months ago
Texture Recognition Using a Non-Parametric Multi-Scale Statistical Model
We describe a technique for using the joint occurrence of local features at multiple resolutions to measure the similarity between texture images. Though superficially similar to ...
Jeremy S. De Bonet, Paul A. Viola
CVPR
2005
IEEE
16 years 6 months ago
Simultaneous Modeling and Tracking (SMAT) of Feature Sets
A novel method for the simultaneous modeling and tracking (SMAT) of a feature set during motion sequence is proposed. The method requires no prior information. Instead the a poste...
N. D. H. Dowson, Richard Bowden