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» Model-Based Human Body Tracking
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CVPR
2001
IEEE
16 years 1 days ago
Automatic Partitioning of High Dimensional Search Spaces Associated with Articulated Body Motion Capture
Particle filters have proven to be an effective tool for visual tracking in non-gaussian, cluttered environments. Conventional particle filters however do not scale to the problem...
Jonathan Deutscher, Andrew J. Davison, Ian D. Reid
TIM
2011
134views more  TIM 2011»
14 years 5 months ago
A New Sensory System for Modeling and Tracking Humans Within Industrial Work Cells
—This paper introduces a new sensory system for the 2-D detection, tracking, and prediction of human motions. Using the data acquired through the sensory system, a model of a hum...
Nima Najmaei, Mehrdad R. Kermani, M. A. Al-Lawati
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
CVPR
1998
IEEE
16 years 1 days ago
Tracking People with Twists and Exponential Maps
This paper demonstrates a new visual motion estimation technique that is able to recover high degree-of-freedom articulated human body configurations in complex video sequences. W...
Christoph Bregler, Jitendra Malik
FGR
2004
IEEE
142views Biometrics» more  FGR 2004»
15 years 1 months ago
On Automated Model-Based Extraction and Analysis of Gait
We develop a new model-based extraction process guided by biomechanical analysis for walking people, and analyse its data for recognition capability. Hierarchies of shape and moti...
David K. Wagg, Mark S. Nixon