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ACCV
2006
Springer
15 years 10 months ago
A Novel Robust Statistical Method for Background Initialization and Visual Surveillance
In many visual tracking and surveillance systems, it is important to initialize a background model using a training video sequence which may include foreground objects. In such a c...
Hanzi Wang, David Suter
MM
2004
ACM
104views Multimedia» more  MM 2004»
15 years 9 months ago
A robust and accumulator-free ellipse hough transform
The ellipse Hough transform (EHT) is a widely-used technique. Most of the previous modifications to the standard EHT improved either the voting procedure that computes the absolut...
Xinguo Yu, Hon Wai Leong, Changsheng Xu, Qi Tian
CVPR
2000
IEEE
15 years 8 months ago
A Fast and Robust Approach to Recovering Structure and Motion from Live Video Frames
This paper describes a fast and robust approach to recovering structure and motion from video frames. It rst describes a robust recursive factorization method for ane projection...
Takeshi Kurata, Jun Fujiki, Masakatsu Kourogi, Kat...
PRL
2010
310views more  PRL 2010»
15 years 2 months ago
A Lagrangian Half-Quadratic approach to robust estimation and its applications to road scene analysis
We consider the problem of fitting linearly parameterized models, that arises in many computer vision problems such as road scene analysis. Data extracted from images usually cont...
Jean-Philippe Tarel, Pierre Charbonnier
ICRA
2009
IEEE
210views Robotics» more  ICRA 2009»
15 years 2 months ago
An adaptive-scale robust estimator for motion estimation
Although RANSAC is the most widely used robust estimator in computer vision, it has certain limitations making it ineffective in some situations, such as the motion estimation prob...
Trung Ngo Thanh, Hajime Nagahara, Ryusuke Sagawa, ...