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» Robust moving object detection under complex background
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GECCO
2004
Springer
147views Optimization» more  GECCO 2004»
15 years 8 months ago
Cooperative Coevolution Fusion for Moving Object Detection
In this paper we introduce a novel sensor fusion algorithm based on the cooperative coevolutionary paradigm. We develop a multisensor robust moving object detection system that can...
Sohail Nadimi, Bir Bhanu
ICIP
2006
IEEE
16 years 4 months ago
Model-Free, Statistical Detection and Tracking of Moving Objects
A novel statistical approch for detection and tracking of objects is presented here, which uses both edge and color information in a particle filter. The approach does not need an...
Mark Ross
ICPR
2008
IEEE
15 years 9 months ago
Back to the future: Robust foreground extraction with reversed-time background modeling
“Ghosts” arise in traditional background subtraction when an object starts to move, causing the exposed background to be labelled as a ghost foreground. With background model ...
Akhilesh Kumar Sinha, Prithwijit Guha, Amitabha Mu...
IJCV
2006
125views more  IJCV 2006»
15 years 2 months ago
Robust Tracking Using Foreground-Background Texture Discrimination
This paper conceives of tracking as the developing distinction of a foreground against the background. In this manner, fast changes in the object or background appearance can be de...
Hieu Tat Nguyen, Arnold W. M. Smeulders
123
Voted
ICCS
2005
Springer
15 years 8 months ago
Towards a Bayesian Approach to Robust Finding Correspondences in Multiple View Geometry Environments
Abstract. This paper presents a new Bayesian approach to the problem of finding correspondences of moving objects in a multiple calibrated camera environment. Moving objects are d...
Cristian Canton-Ferrer, Josep R. Casas, Montse Par...