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» Background Subtraction Based on a Robust Consensus Method
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ICASSP
2010
IEEE
13 years 7 months ago
Robust background modeling via standard variance feature
In this paper, a novel standard variance feature is proposed for background modeling in dynamic scenes involving waving trees and ripples in water. The standard variance feature i...
Bineng Zhong, Hongxun Yao, Shaohui Liu
ICIP
2008
IEEE
14 years 9 months ago
Feature-based object modelling for visual surveillance
This paper introduces a new feature-based technique for implicitly modelling objects in visual surveillance. Previous work has generally employed background subtraction and other ...
Gary Baugh, Anil C. Kokaram
ICDAR
2007
IEEE
14 years 1 months ago
Robust Circle Detection
In this paper we present a method of robustly detect circles in a line drawing image. The method is fast, robust and very reliable, and is capable of assessing the quality of its ...
Bart Lamiroy, Laurent Fritz, Olivier Gaucher
DAGM
2009
Springer
14 years 1 months ago
Localised Mixture Models in Region-Based Tracking
An important problem in many computer vision tasks is the separation of an object from its background. One common strategy is to estimate appearance models of the object and backgr...
Christian Schmaltz, Bodo Rosenhahn, Thomas Brox, J...
ICIP
2006
IEEE
14 years 9 months ago
Windowed Image Registration for Robust Mosaicing of Scenes with Large Background Occlusions
We propose an enhanced window-based approach to local image registration for robust video mosaicing in scenes with arbitrarily moving foreground objects. Unlike other approaches, ...
Andreas Krutz, Michael R. Frater, Matthias Kunter,...