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ICASSP
2011
IEEE
12 years 8 months ago
A probabilistic pixel-based approach to detect humans in video streams
Human detection in video streams is an important task in many applications including video surveillance. Surprisingly, only few papers have been devoted to this topic. This paper ...
Sébastien Piérard, Antoine Lejeune, ...
ICMCS
2005
IEEE
111views Multimedia» more  ICMCS 2005»
13 years 10 months ago
Video Based Online Behavior Detection Using Probabilistic Multi Stream Fusion
In the present treatise, we propose an approach for a highly configurable image based online person behaviour monitoring system. The particular application scenario is a crew sup...
Dejan Arsic, Frank Wallhoff, Björn Schuller, ...
ICPR
2004
IEEE
14 years 5 months ago
Probabilistic Classification Between Foreground Objects and Background
Tracking of deformable objects like humans is a basic operation in many surveillance applications. Objects are detected as they enter the field of view of the camera and they are ...
Paul J. Withagen, Klamer Schutte, Frans C. A. Groe...
TIP
2008
344views more  TIP 2008»
13 years 4 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
IVC
2006
113views more  IVC 2006»
13 years 4 months ago
Minimal-latency human action recognition using reliable-inference
We present a probabilistic reliable-inference framework to address the issue of rapid detection of human actions with low error rates. The approach determines the shortest video e...
James W. Davis, Ambrish Tyagi