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» Occlusion tracking using logic models
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CVPR
2006
IEEE
14 years 9 months ago
3D People Tracking with Gaussian Process Dynamical Models
We advocate the use of Gaussian Process Dynamical Models (GPDMs) for learning human pose and motion priors for 3D people tracking. A GPDM provides a lowdimensional embedding of hu...
Raquel Urtasun, David J. Fleet, Pascal Fua
BMVC
1998
13 years 8 months ago
Learning Enhanced 3D Models for Vehicle Tracking
This paper presents an enhanced hypothesis verification strategy for 3D object recognition. A new learning methodology is presented which integrates the traditional dichotomic obj...
James M. Ferryman, Anthony D. Worrall, Stephen J. ...
CVPR
2006
IEEE
14 years 1 months ago
Robust multi-target tracking using spatio-temporal context
In multi-target tracking, the maintaining of the correct identity of targets is challenging. In the presented tracking method, accurate target identification is achieved by incor...
Hieu Tat Nguyen, Qiang Ji, Arnold W. M. Smeulders
IVC
2006
183views more  IVC 2006»
13 years 7 months ago
Augmented tracking with incomplete observation and probabilistic reasoning
An on-line algorithm for multi-object tracking is presented for monitoring a real-world scene from a single fixed camera. Potential objects are detected with adaptive backgrounds ...
Ming Xu, Tim Ellis
ISMAR
2009
IEEE
14 years 2 months ago
Online environment model estimation for augmented reality
Augmented reality applications often rely on a detailed environment model to support features such as annotation and occlusion. Usually, such a model is constructed offline, whic...
Jonathan Ventura, Tobias Höllerer