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» Learning to track 3D human motion from silhouettes
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ICCV
2007
IEEE
14 years 9 months ago
The Best of Both Worlds: Combining 3D Deformable Models with Active Shape Models
Reliable 3D tracking is still a difficult task. Most parametrized 3D deformable models rely on the accurate extraction of image features for updating their parameters, and are pro...
Christian Vogler, Zhiguo Li, Atul Kanaujia, Siome ...
ECCV
2002
Springer
14 years 9 months ago
Recognizing and Tracking Human Action
Human activity can be described as a sequence of 3D body postures. The traditional approach to recognition and 3D reconstruction of human activity has been to track motion in 3D, m...
Josephine Sullivan, Stefan Carlsson
ICES
2010
Springer
217views Hardware» more  ICES 2010»
13 years 5 months ago
Markerless Articulated Human Body Tracking from Multi-view Video with GPU-PSO
In this paper, we describe the GPU implementation of a markerless full-body articulated human motion tracking system from multi-view video sequences acquired in a studio environmen...
Luca Mussi, Spela Ivekovic, Stefano Cagnoni
ICRA
2009
IEEE
163views Robotics» more  ICRA 2009»
14 years 2 months ago
Markerless human motion tracking with a flexible model and appearance learning
— A new approach to the 3D human motion tracking problem is proposed, which combines several particle filters with a physical simulation of a flexible body model. The flexible...
Florian Hecht, Pedram Azad, Rüdiger Dillmann
SLSFS
2005
Springer
14 years 26 days ago
Incorporating Constraints and Prior Knowledge into Factorization Algorithms - An Application to 3D Recovery
Abstract. Matrix factorization is a fundamental building block in many computer vision and machine learning algorithms. In this work we focus on the problem of ”structure from mo...
Amit Gruber, Yair Weiss