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» Kernel-based Tracking from a Probabilistic Viewpoint
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107
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ICCV
2007
IEEE
15 years 20 days ago
Probabilistic Fusion Tracking Using Mixture Kernel-Based Bayesian Filtering
Even though sensor fusion techniques based on particle filters have been applied to object tracking, their implementations have been limited to combining measurements from multip...
Bohyung Han, Seong-Wook Joo, Larry S. Davis
93
Voted
CVPR
2007
IEEE
16 years 28 days ago
Kernel-based Tracking from a Probabilistic Viewpoint
In this paper, we present a probabilistic formulation of kernel-based tracking methods based upon maximum likelihood estimation. To this end, we view the coordinates for the pixel...
Quang Anh Nguyen, Antonio Robles-Kelly, Chunhua Sh...
113
Voted
PAMI
2006
358views more  PAMI 2006»
14 years 10 months ago
Recovering 3D Human Pose from Monocular Images
We describe a learning based method for recovering 3D human body pose from single images and monocular image sequences. Our approach requires neither an explicit body model nor pri...
Ankur Agarwal, Bill Triggs
94
Voted
CAIP
2009
Springer
249views Image Analysis» more  CAIP 2009»
15 years 5 months ago
Real-Time Volumetric Reconstruction and Tracking of Hands in a Desktop Environment
A probabilistic framework for vision based volumetric reconstruction and marker free tracking of hand and face volumes is presented, which exclusively relies on off-the-shelf hardw...
Christoph John, Ulrich Schwanecke, Holger Regenbre...
103
Voted
ECCV
2002
Springer
16 years 23 days ago
Automatic Detection and Tracking of Human Motion with a View-Based Representation
Abstract. This paper proposes a solution for the automatic detection and tracking of human motion in image sequences. Due to the complexity of the human body and its motion, automa...
Ronan Fablet, Michael J. Black