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CVPR
2006
IEEE
16 years 1 months ago
A Framework for Feature Selection for Background Subtraction
Background subtraction is a widely used paradigm to detect moving objects in video taken from a static camera and is used for various important applications such as video surveill...
Toufiq Parag, Ahmed M. Elgammal, Anurag Mittal
IJIG
2002
189views more  IJIG 2002»
14 years 11 months ago
Motion Detection from Time-Varied Background
This paper proposes a new background subtraction method for detecting moving objects from a time-varied background. While background subtraction has traditionally worked well for ...
Ying Ren, Chin-Seng Chua, Yeong-Khing Ho
FSKD
2007
Springer
193views Fuzzy Logic» more  FSKD 2007»
15 years 5 months ago
Panoramic Background Model under Free Moving Camera
segmentation of moving regions in outdoor environment under a moving camera is a fundamental step in many vision systems including automated visual surveillance, human-machine int...
Naveed I. Rao, Huijun Di, Guangyou Xu
CVPR
2008
IEEE
16 years 1 months ago
Kernel-based learning of cast shadows from a physical model of light sources and surfaces for low-level segmentation
In background subtraction, cast shadows induce silhouette distortions and object fusions hindering performance of high level algorithms in scene monitoring. We introduce a nonpara...
André Zaccarin, Nicolas Martel-Brisson
PAMI
2011
14 years 6 months ago
Bilayer Segmentation of Webcam Videos Using Tree-Based Classifiers
—This paper presents an automatic segmentation algorithm for video frames captured by a (monocular) webcam that closely approximates depth segmentation from a stereo camera. The ...
Pei Yin, Antonio Criminisi, John M. Winn, Irfan A....