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» Moving Objects and Their Equations of Motion
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ICPR
2008
IEEE
14 years 11 months ago
Review and evaluation of commonly-implemented background subtraction algorithms
Locating moving objects in a video sequence is the first step of many computer vision applications. Among the various motion-detection techniques, background subtraction methods a...
Bruno Emile, Christophe Rosenberger, Hél&eg...
ICPR
2006
IEEE
14 years 11 months ago
Boosted Markov Chain Monte Carlo Data Association for Multiple Target Detection and Tracking
In this paper, we present a probabilistic framework for automatic detection and tracking of objects. We address the data association problem by formulating the visual tracking as ...
Bo Wu, Gérard G. Medioni, Isaac Cohen, Qian...
CVPR
2009
IEEE
14 years 4 months ago
Saliency-based discriminant tracking
We propose a biologically inspired framework for visual tracking based on discriminant center surround saliency. At each frame, discrimination of the target from the background is...
Vijay Mahadevan, Nuno Vasconcelos
ICIP
2008
IEEE
14 years 4 months ago
Dynamic background modeling and subtraction using spatio-temporal local binary patterns
Traditional background modeling and subtraction methods have a strong assumption that the scenes are of static structures with limited perturbation. These methods will perform poo...
Shengping Zhang, Hongxun Yao, Shaohui Liu
IROS
2008
IEEE
122views Robotics» more  IROS 2008»
14 years 4 months ago
Positioning mobile manipulators to perform constrained linear trajectories
Abstract— For mobile manipulators envisioned in home environments a kitchen scenario provides a challenging testbed for numerous skills. Diverse manipulation actions are required...
Franziska Zacharias, Christoph Borst, Michael Beet...