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ICIP
2008
IEEE
13 years 11 months ago
An adaptive background model initialization algorithm with objects moving at different depths
Background subtraction is an essential element in most object tracking and video surveillance systems. The success of this low-level processing step is highly dependent on the qua...
Chia-Chih Chen, J. K. Aggarwal
ICCV
2001
IEEE
14 years 6 months ago
A Background Model Initialization Algorithm for Video Surveillance
Many motion detection and tracking algorithms rely on the process of background subtraction, a technique which detects changes from a model of the background scene. We present a n...
Daniel Gutchess, Miroslav Trajkovic, Eric Cohen-So...
ICIP
2001
IEEE
14 years 6 months ago
Adaptive video background modeling using color and depth
Copyright 2001 IEEE. Published in the 2001 International Conference on Image Processing (ICIP-2001), October 7-10, 2001, Thessaloniki, Greece. Personal use of this material is per...
Gaile G. Gordon, John Woodfill, Michael Harville
TCSV
2008
148views more  TCSV 2008»
13 years 4 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
MVA
2002
188views Computer Vision» more  MVA 2002»
13 years 4 months ago
Adaptive Background Estimation for Object Tracking
2 Adaptive Background Model Tracking people has received considerable attention by computer vision researchers. Interest is motivated by the broad range of potential applications s...
Ryunosuke Itoh, Yoshio Iwai, Masahiko Yachida