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» 3D Tracking by Catadioptric Vision Based on Particle Filters
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ECCV
2000
Springer
14 years 9 months ago
Stochastic Tracking of 3D Human Figures Using 2D Image Motion
A probabilistic method for tracking 3D articulated human figures in monocular image sequences is presented. Within a Bayesian framework, we define a generative model of image appea...
Hedvig Sidenbladh, Michael J. Black, David J. Flee...
CSIE
2009
IEEE
14 years 2 months ago
Using Rao-Blackwellised Particle Filter Track 3D Arm Motion Based on Hierarchical Limb Model
—For improving the efficiency of human 3D tracking, we present an algorithm to track 3D Arm Motion. First, the Hierarchy Limb Model (HLM) is proposed based on the human 3D skelet...
XueSong Yu, JiaFeng Liu, XiangLong Tang, JianHua H...
ECCV
2006
Springer
14 years 9 months ago
Monocular Tracking of 3D Human Motion with a Coordinated Mixture of Factor Analyzers
Filtering based algorithms have become popular in tracking human body pose. Such algorithms can suffer the curse of dimensionality due to the high dimensionality of the pose state ...
Rui Li, Ming-Hsuan Yang, Stan Sclaroff, Tai-Peng T...
EVENT
2001
140views more  EVENT 2001»
13 years 8 months ago
Multimodal 3-D Tracking and Event Detection via the Particle Filter
Determining the occurrence of an event is fundamental to developing systems that can observe and react to them. Often, this determination is based on collecting video and/or audio...
Dmitry N. Zotkin, Ramani Duraiswami, Larry S. Davi...
3DPVT
2006
IEEE
199views Visualization» more  3DPVT 2006»
14 years 1 months ago
Gaze Tracking by Using Factorized Likelihoods Particle Filtering and Stereo Vision
This paper describes a non-intrusive method to estimate the gaze direction of a person by using stereo cameras. First, facial features are tracked with an adapted particle filter...
Erik Pogalin, André Redert, Ioannis Patras,...