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TCSV
2008
148views more  TCSV 2008»
13 years 5 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
PCM
2004
Springer
102views Multimedia» more  PCM 2004»
13 years 11 months ago
Background Modeling Using Phase Space for Day and Night Video Surveillance Systems
This paper presents a novel background modeling approach for day and night video surveillance. A great number of background models have been proposed to represent the background sc...
Yu-Ming Liang, Arthur Chun-Chieh Shih, Hsiao-Rong ...
CVPR
2008
IEEE
13 years 7 months ago
An integrated background model for video surveillance based on primal sketch and 3D scene geometry
This paper presents a novel integrated background model for video surveillance. Our model uses a primal sketch representation for image appearance and 3D scene geometry to capture...
Wenze Hu, Haifeng Gong, Song Chun Zhu, Yongtian Wa...
CAIP
2007
Springer
217views Image Analysis» more  CAIP 2007»
13 years 12 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...
ICIP
2010
IEEE
13 years 3 months ago
Stationary foreground detection using background subtraction and temporal difference in video surveillance
In this paper we describe a new algorithm focused on obtaining stationary foreground regions, which is useful for applications like the detection of abandoned/stolen objects and p...
Álvaro Bayona, Juan C. SanMiguel, Jos&eacut...