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ICCV
2001
IEEE
14 years 9 months ago
Real-Time Tracking of Highly Articulated Structures in the Presence of Noisy Measurements
This paper presents a novel approach for model-based realtime tracking of highly articulated structures such as humans. This approach is based on an algorithm which efficiently pr...
Tom Drummond, Roberto Cipolla
ICMCS
2007
IEEE
182views Multimedia» more  ICMCS 2007»
14 years 1 months ago
Computer Vision on Multi-Core Processors: Articulated Body Tracking
The recent emergence of multi-core processors enables a new trend in the usage of computers. Computer vision applications, which require heavy computation and lots of bandwidth, u...
Trista Pei-chun Chen, Dmitry Budnikov, Christopher...
CVIU
2006
176views more  CVIU 2006»
13 years 7 months ago
Temporal motion models for monocular and multiview 3D human body tracking
We explore an approach to 3D people tracking with learned motion models and deterministic optimization. The tracking problem is formulated as the minimization of a differentiable ...
Raquel Urtasun, David J. Fleet, Pascal Fua
ICCV
2001
IEEE
14 years 9 months ago
Learning Image Statistics for Bayesian Tracking
This paper describes a framework for learning probabilistic models of objects and scenes and for exploiting these models for tracking complex, deformable, or articulated objects i...
Hedvig Sidenbladh, Michael J. Black
FGR
2006
IEEE
262views Biometrics» more  FGR 2006»
14 years 1 months ago
Kernel Particle Filter for Real-Time 3D Body Tracking in Monocular Color Images
This paper presents the application of a kernel particle filter for 3D body tracking in a video stream acquired from a single uncalibrated camera. Using intensity-based and color...
Joachim Schmidt, Jannik Fritsch, Bogdan Kwolek