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» Detecting and Tracking Moving Objects for Video Surveillance
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CAIP
2003
Springer
176views Image Analysis» more  CAIP 2003»
14 years 27 days 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
IEEEMSP
2002
IEEE
137views Multimedia» more  IEEEMSP 2002»
14 years 17 days ago
Realtime object extraction and tracking with an active camera using image mosaics
—Moving object extraction plays a key role in applications such as object-based videoconference, surveillance, and so on. The difficulties of moving object segmentation lie in th...
Chia-Wen Lin, Chih-Ming Wang, Yao-Jen Chang, Yung-...
ICIP
1999
IEEE
14 years 9 months ago
Roc Curves for Performance Evaluation of Video Sequences Processing Systems for Surveillance Applications
Performances evaluation of image processing intermediate results in video based surveillance systems is extremely important due to the variety of approaches to this task. In this ...
Franco Oberti, Andrea Teschioni, Carlo S. Regazzon...
ECCV
2002
Springer
14 years 9 months ago
Tracking and Object Classification for Automated Surveillance
In this paper we discuss the issues that need to be resolved before fully automated outdoor surveillance systems can be developed, and present solutions to some of these problems. ...
Omar Javed, Mubarak Shah
ACCV
2010
Springer
13 years 2 months ago
MRF-Based Background Initialisation for Improved Foreground Detection in Cluttered Surveillance Videos
Abstract. Robust foreground object segmentation via background modelling is a difficult problem in cluttered environments, where obtaining a clear view of the background to model i...
Vikas Reddy, Conrad Sanderson, Andres Sanin, Brian...