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ICPR
2008
IEEE
14 years 8 months ago
Background modelling in demanding situations with confidence measure
Background subtraction is a popular technique in video surveillance. In order to use it, a background model must be built and updated according to light and scenario changes. We d...
Juan Alfonso Rosell Ortega, Gabriela Andreu Garc&i...
CVPR
2000
IEEE
13 years 12 months ago
Error Analysis of Background Adaption
Background modeling is a common component in video surveillance systems and is used to quickly identify regions of interest. To increase the robustness of background subtraction t...
Xiang Gao, Terrance E. Boult, Frans Coetzee, Visva...
PCM
2004
Springer
326views Multimedia» more  PCM 2004»
14 years 24 days ago
Automatic Video Object Tracking Using a Mosaic-Based Background
In this paper, we propose a panorama-based object tracking scheme for wide-view surveillance systems that can detect and track moving objects with a pan-tilt camera. A dynamic mosa...
Young-Kee Jung, Kyu-Won Lee, Dong-Min Woo, Yo-Sung...
ICPR
2004
IEEE
14 years 8 months ago
On-Line Adaptive Background Modelling for Audio Surveillance
In this paper, we investigate the problem of automatic audio surveillance. This aspect of the surveillance, which extends the more investigated area of video surveillance, can be ...
Marco Cristani, Manuele Bicego, Vittorio Murino
ICASSP
2011
IEEE
12 years 11 months 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