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ICPR
2006
IEEE
14 years 3 months ago
Class Separability in Spaces Reduced By Feature Selection
We investigated the geometrical complexity of several high-dimensional, small sample classification problems and its changes due to two popular feature selection procedures, forw...
Erinija Pranckeviciene, TinKam Ho, Ray L. Somorjai
CVPR
2009
IEEE
1119views Computer Vision» more  CVPR 2009»
15 years 4 months ago
Adaptive Contour Features in Oriented Granular Space for Human Detection and Segmentation
In this paper, a novel feature named Adaptive Contour Feature (ACF) is proposed for human detection and segmentation. This feature consists of a chain of a number of granules in...
Wei Gao (Tsinghua University), Haizhou Ai (Tsinghu...
CVPR
2003
IEEE
14 years 11 months ago
Mean-shift Blob Tracking through Scale Space
The mean-shift algorithm is an efficient technique for tracking 2D blobs through an image. Although the scale of the mean-shift kernel is a crucial parameter, there is presently n...
Robert T. Collins
CVPR
2003
IEEE
14 years 11 months ago
Probabilistic Tracking in Joint Feature-Spatial Spaces
In this paper we present a probabilistic framework for tracking regions based on their appearance. We exploit the feature-spatial distribution of a region representing an object a...
Ahmed M. Elgammal, Ramani Duraiswami, Larry S. Dav...
ICPR
2004
IEEE
14 years 10 months ago
Condensation Tracking through a Hough Space
Recent work has shown tracking groups of lines through the parameter space represented by a Hough accumulator array to be efficient and insensitive to both occlusion and changes i...
Andrew French, Steven Mills, Tony P. Pridmore