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ROBVIS
2001
Springer
204views Robotics» more  ROBVIS 2001»
13 years 9 months ago
The Background Subtraction Problem for Video Surveillance Systems
This paper reviews papers on tracking people in a video surveillance system, and it presents a new system designed for being able to cope with shadows in a real-time application f...
Alan M. McIvor, Qi Zang, Reinhard Klette
CAIP
2007
Springer
217views Image Analysis» more  CAIP 2007»
13 years 10 months ago
Mixture Models Based Background Subtraction for Video Surveillance Applications
— Background subtraction is a method commonly used to segment objects of interest in image sequences. By comparing new frames to a background model, regions of interest can be fo...
Chris Poppe, Gaëtan Martens, Peter Lambert, R...
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
CAIP
2003
Springer
176views Image Analysis» more  CAIP 2003»
13 years 9 months ago
Evaluation of an Adaptive Composite Gaussian Model in Video Surveillance
Video surveillance systems seek to automatically identify events of interest in a variety of situations. Extracting a moving object from background is the most important step of t...
Qi Zang, Reinhard Klette
CVPR
2005
IEEE
14 years 6 months ago
Robust and Efficient Foreground Analysis for Real-Time Video Surveillance
We present a new method to robustly and efficiently analyze foreground when we detect background for a fixed camera view by using mixture of Gaussians models and multiple cues. Th...
Ying-li Tian, Max Lu, Arun Hampapur