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» Surveillance and Activity Recognition with Depth Information
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TCSV
2008
94views more  TCSV 2008»
13 years 7 months ago
Human Activity Recognition Based on Silhouette Directionality
Recent advances in computer vision and pattern recognition have fuelled numerous initiatives that aim to intelligently recognize human activities. In this paper, we propose an algo...
Meghna Singh, Anup Basu, Mrinal K. Mandal
TIP
2008
344views more  TIP 2008»
13 years 7 months ago
A Self-Organizing Approach to Background Subtraction for Visual Surveillance Applications
Detection of moving objects in video streams is the first relevant step of information extraction in many computer vision applications. Aside from the intrinsic usefulness of being...
Lucia Maddalena, Alfredo Petrosino
ICMCS
2006
IEEE
165views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Partial LDA vs Partial PCA
Recently, 3D face recognition algorithms have outperformed 2D conventional approaches by adding depth data to the problem. However, independently of the nature (2D or 3D) of the a...
Antonio Rama, Francesc Tarres
CVPR
2004
IEEE
14 years 9 months ago
Fast, Integrated Person Tracking and Activity Recognition with Plan-View Templates from a Single Stereo Camera
Copyright 2004 IEEE. Published in Conference on Computer Vision and Pattern Recognition (CVPR-2004), June 27 - July 2, 2004, Washington DC. Personal use of this material is permit...
Michael Harville, Dalong Li
ICCV
2003
IEEE
14 years 9 months ago
Automatically Labeling Video Data Using Multi-class Active Learning
Labeling video data is an essential prerequisite for many vision applications that depend on training data, such as visual information retrieval, object recognition, and human act...
Rong Yan, Jie Yang, Alexander G. Hauptmann