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» A mutual information approach to articulated object tracking
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ISBI
2006
IEEE
14 years 9 months ago
Bayesian tracking for fluorescence microscopic imaging
Fluorescence microscopy is a powerful imaging tool for studying molecular dynamics in living cells. For quantitative motion analysis of subcellular structures robust and accurate ...
Ihor Smal, Wiro J. Niessen, Erik H. W. Meijering
HUMO
2007
Springer
14 years 2 months ago
Multi Person Tracking Within Crowded Scenes
This paper presents a solution to the problem of tracking people within crowded scenes. The aim is to maintain individual object identity through a crowded scene which contains com...
Andrew Gilbert, Richard Bowden
PAMI
2010
238views more  PAMI 2010»
13 years 7 months ago
Tracking Motion, Deformation, and Texture Using Conditionally Gaussian Processes
—We present a generative model and inference algorithm for 3D nonrigid object tracking. The model, which we call G-flow, enables the joint inference of 3D position, orientation, ...
Tim K. Marks, John R. Hershey, Javier R. Movellan
ICDT
1999
ACM
154views Database» more  ICDT 1999»
14 years 28 days ago
Databases for Tracking Mobile Units in Real Time
Abstract. In this paper we consider databases representing information about moving objects (e.g. vehicles), particularly their location. We address the problems of updating and qu...
Ouri Wolfson, Liqin Jiang, A. Prasad Sistla, Sam C...
ASSETS
2000
ACM
14 years 1 months ago
Constructive exploration of spatial information by blind users
When blind people wish to walk through an area not fully known to them, they have to prepare themselves even more thoroughly than sighted pedestrians. We propose a new approach to...
Jochen Schneider, Thomas Strothotte