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» On-Line Adaptive Background Modelling for Audio Surveillance
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ECCV
2000
Springer
15 years 11 months ago
Non-parametric Model for Background Subtraction
Abstract. Background subtraction is a method typically used to segment moving regions in image sequences taken from a static camera by comparing each new frame to a model of the sc...
Ahmed M. Elgammal, David Harwood, Larry S. Davis
ICASSP
2011
IEEE
14 years 1 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
TCSV
2008
148views more  TCSV 2008»
14 years 9 months ago
Modeling Background and Segmenting Moving Objects from Compressed Video
Abstract--Modeling background and segmenting moving objects are significant techniques for video surveillance and other video processing applications. Most existing methods of mode...
Weiqiang Wang, Jie Yang, Wen Gao
AVSS
2006
IEEE
15 years 3 months ago
"Hybrid Cone-Cylinder" Codebook Model for Foreground Detection with Shadow and Highlight Suppression
In the interest of 24-7 long-term surveillance, a truly robust, adaptive, and fast background-foreground segmentation technique is required. This paper deals with the especially d...
Anup Doshi, Mohan M. Trivedi
ICMCS
2006
IEEE
149views Multimedia» more  ICMCS 2006»
15 years 3 months ago
Improved Graphical Model for Audiovisual Object Tracking
Object tracking plays an important role in multimedia surveillance systems, in which the major types of data are video and audio captured by cameras and microphone arrays. In this...
Hao Tang, Thomas S. Huang