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» Harmonium Models for Video Classification
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ICCV
1999
IEEE
14 years 10 months ago
Classification of Human Body Motion
The classification of human body motion is a difficult problem. In particular, the automatic segmentation of sequences containing more than one class of motion is challenging. An ...
Jens Rittscher, Andrew Blake
ICIP
2006
IEEE
14 years 10 months ago
Light Weight Background Blurring for Video Conferencing Applications
Background blurring is an effective way to both preserving privacy and keeping communication effective during video conferencing. This paper proposes a light weight real-time algo...
Cha Zhang, Yong Rui, Li-wei He
ISM
2008
IEEE
134views Multimedia» more  ISM 2008»
14 years 2 months ago
GeM-Tree: Towards a Generalized Multidimensional Index Structure Supporting Image and Video Retrieval
In this paper, we propose a tree-based multidimensional structure, GeM-Tree, which indexes both images and videos within a single general framework utilizing Earth Mover’s Dista...
Kasturi Chatterjee, Shu-Ching Chen
ICASSP
2011
IEEE
13 years 5 days ago
Detecting moving objects from dynamic background with shadow removal
Background subtraction is commonly used to detect foreground objects in video surveillance. Traditional background subtraction methods are usually based on the assumption that the...
Shih-Chieh Wang, Te-Feng Su, Shang-Hong Lai
ASC
2008
13 years 8 months ago
Dynamic classification for video stream using support vector machine
A dynamic classification using the support vector machine (SVM) technique is presented in this paper as a new `incremental' framework for multiple-classifying video stream da...
Mariette Awad, Yuichi Motai