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CVPR
2009
IEEE
16 years 6 months ago
Monitoring, Recognizing and Discovering Social Networks
This work addresses the important problem of the discovery and analysis of social networks from surveillance video. A computer vision approach to this problem is made possible b...
Ting Yu, Ser Nam Lim, Kedar A. Patwardhan, Nils Kr...
CVPR
1999
IEEE
16 years 1 months ago
Independent Motion: The Importance of History
We consider a problem central in aerial visual surveillance applications { detection and tracking of small, independently moving objects in long and noisy video sequences. We dire...
Robert Pless, Tomás Brodský, Yiannis...
CVPR
2006
IEEE
16 years 1 months ago
A Framework for Feature Selection for Background Subtraction
Background subtraction is a widely used paradigm to detect moving objects in video taken from a static camera and is used for various important applications such as video surveill...
Toufiq Parag, Ahmed M. Elgammal, Anurag Mittal
CVPR
2008
IEEE
16 years 1 months ago
An experimental study of employing visual appearance as a phenotype
Visual and non-visual data are often related through complex, indirect links, thus making the prediction of one from the other difficult. Examples include the partiallyunderstood ...
Lior Wolf, Yoni Donner
ICPR
2008
IEEE
16 years 6 days ago
Learning motion patterns in crowded scenes using motion flow field
Learning typical motion patterns or activities from videos of crowded scenes is an important visual surveillance problem. To detect typical motion patterns in crowded scenarios, w...
Min Hu, Mubarak Shah, Saad Ali