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» An Adaptive Bayesian Technique for Tracking Multiple Objects
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MLMI
2005
Springer
14 years 2 months ago
Foreground Regions Extraction and Characterization Towards Real-Time Object Tracking
Abstract. Object localization and tracking are key issues in the analysis of scenes for video surveillance or scene understanding applications. This paper presents a contribution t...
José Luis Landabaso, Montse Pardàs
DICTA
2009
13 years 10 months ago
Improved Simultaneous Computation of Motion Detection and Optical Flow for Object Tracking
Abstract--Object tracking systems require accurate segmentation of the objects from the background for effective tracking. Motion segmentation or optical flow can be used to segmen...
Simon Denman, Clinton Fookes, Sridha Sridharan
VR
2011
IEEE
192views Virtual Reality» more  VR 2011»
13 years 20 days ago
Continual surface-based multi-projector blending for moving objects
We introduce a general technique for blending imagery from multiple projectors on a tracked, moving, non-planar object. Our technique continuously computes visibility of pixels ov...
Peter Lincoln, Greg Welch, Henry Fuchs
GI
2009
Springer
13 years 6 months ago
A Framework for Multiple Radar and Multiple 2D/3D Camera Fusion
Abstract: In this paper we present a framework for the fusion of radar and image information. In the case considered here we combine information from multiple closerange radars to ...
Marek Schikora, Benedikt Romba
CVPR
2008
IEEE
14 years 11 months ago
Visual tracking via incremental Log-Euclidean Riemannian subspace learning
Recently, a novel Log-Euclidean Riemannian metric [28] is proposed for statistics on symmetric positive definite (SPD) matrices. Under this metric, distances and Riemannian means ...
Xi Li, Weiming Hu, Zhongfei Zhang, Xiaoqin Zhang, ...