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ICIP
2001
IEEE
16 years 7 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
CRV
2008
IEEE
183views Robotics» more  CRV 2008»
16 years 7 days ago
Robust Real-Time Bi-Layer Video Segmentation Using Infrared Video
In this paper, we propose a novel method for the automatic segmentation of a foreground layer from a natural scene in real time by fusing infrared, color and edge information. Thi...
Qiong Wu, Pierre Boulanger, Walter F. Bischof
MVA
2002
195views Computer Vision» more  MVA 2002»
15 years 5 months ago
Improved Adaptive Mixture Learning for Robust Video Background Modeling
2 Related Works Gaussian mixtures are often used for data modeling in many real-time applications such as video background modeling and speaker direction tracking. The real-time a...
Dar-Shyang Lee
ICPR
2004
IEEE
16 years 6 months ago
Robust Playfield Segmentation using MAP Adaptation
A vital task in sports video annotation is to detect and segment areas of the playfield. This is an important first step in player or ball tracking and detecting the location of t...
Jean-Marc Odobez, Mark Barnard
160
Voted
CVPR
1999
IEEE
1071views Computer Vision» more  CVPR 1999»
16 years 7 months ago
Adaptive Background Mixture Models for Real-Time Tracking
A common method for real-time segmentation of moving regions in image sequences involves "background subtraction," or thresholding the error between an estimate of the i...
Chris Stauffer, W. Eric L. Grimson