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» An Online Discriminative Approach to Background Subtraction
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AVSS
2006
IEEE
14 years 5 months ago
An Online Discriminative Approach to Background Subtraction
We present a simple, principled approach to detecting foreground objects in video sequences in real-time. Our method is based on an on-line discriminative learning technique that ...
Li Cheng, Shaojun Wang, Dale Schuurmans, Terry Cae...
ICIG
2009
IEEE
14 years 5 months ago
LCD Mura Detection Based on Accumulated Differences and Multi-resolution Background Subtraction
A mura detection approach based on the difference accumulation and background estimation is proposed to detect mura in the thin film transistor liquid crystal display (TFT-LCD) im...
You-Ching Lee, Cheng-En Shie, Din-Chang Tseng
CVPR
2006
IEEE
15 years 26 days 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
CVPR
2010
IEEE
14 years 7 months ago
Warping Background Subtraction
We present a background model that differentiates between background motion and foreground objects. Unlike most models that represent the variability of pixel intensity at a partic...
Teresa Ko, Stefano Soatto, Deborah Estrin
ICCV
2003
IEEE
15 years 23 days ago
Background Modeling and Subtraction of Dynamic Scenes
Background modeling and subtraction is a core component in motion analysis. The central idea behind such module is to create a probabilistic representation of the static scene tha...
Antoine Monnet, Anurag Mittal, Nikos Paragios, Vis...