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» A mutual information approach to articulated object tracking
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MICCAI
2002
Springer
14 years 9 months ago
Cortical Surface Registration Using Texture Mapped Point Clouds and Mutual Information
An inter-modality registration algorithm that uses textured point clouds and mutual information is presented within the context of a new physical-space to image-space registration ...
Tuhin K. Sinha, David M. Cash, Robert J. Weil, Rob...
CVPR
2010
IEEE
14 years 5 months ago
Tracking People Interacting with Objects
While the problem of tracking 3D human motion has been widely studied, most approaches have assumed that the person is isolated and not interacting with the environment. Environme...
Hedvig Kjellstrom, Michael Black, Danica Kragic
CVPR
1999
IEEE
14 years 10 months ago
A Multiple Hypothesis Approach to Figure Tracking
This paper describes a probabilistic multiple-hypothesis framework for tracking highly articulated objects. In this framework, the probability density of the tracker state is repr...
Tat-Jen Cham, James M. Rehg
ICMCS
2006
IEEE
111views Multimedia» more  ICMCS 2006»
14 years 2 months ago
Integration of Background Modeling and Object Tracking
Background model and tracking became critical components for many vision-based applications. Typically, background modeling and object tracking are mutually independent in many ap...
Yu-Ting Chen, Chu-Song Chen, Yi-Ping Hung
ISBI
2006
IEEE
14 years 9 months ago
Molecular image registration using mutual information and differential evolution optimization
In this work we propose a novel rigid image registration approach to determine the position of high-resolution molecular structures in medium-resolution macromolecular complexes. ...
Bartosz Telenczuk, María J. Ledesma-Carbayo...