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125
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CVPR
2007
IEEE
15 years 5 months ago
Object Classification in Visual Surveillance Using Adaboost
In this paper, we present a method of object classification within the context of Visual Surveillance. Our goal is the classification of tracked objects into one of the two classe...
John-Paul Renno, Dimitrios Makris, Graeme A. Jones
ICPR
2010
IEEE
15 years 4 months ago
Underwater Mine Classification with Imperfect Labels
A new algorithm for performing classification with imperfectly labeled data is presented. The proposed approach is motivated by the insight that the average prediction of a group ...
David Williams
130
Voted
ICPR
2010
IEEE
15 years 1 months ago
Human Activity Recognition Using Local Shape Descriptors
We propose a method for human activity recognition in videos, based on shape analysis. We define local shape descriptors for interest points on the detected contour of the human a...
Sharath Venkatesha, Matthew Turk
MVA
2007
156views Computer Vision» more  MVA 2007»
15 years 1 months ago
A system for articulated tracking incorporating a clothing model
Abstract In this paper an approach for motion capture of dressed people is presented. A cloth draping method is incorporated in a silhouette based motion capture system. This leads...
Bodo Rosenhahn, Uwe G. Kersting, Katie Powell, Rei...
CVPR
2009
IEEE
1216views Computer Vision» more  CVPR 2009»
16 years 8 months ago
Marked Point Processes for Crowd Counting
A Bayesian marked point process (MPP) model is developed to detect and count people in crowded scenes. The model couples a spatial stochastic process governing number and placem...
Robert T. Collins, Weina Ge