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» Inferring Body Pose without Tracking Body Parts
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CVPR
2004
IEEE
15 years 12 months ago
3D Human Pose from Silhouettes by Relevance Vector Regression
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 pr...
Ankur Agarwal, Bill Triggs
ICMCS
2007
IEEE
182views Multimedia» more  ICMCS 2007»
15 years 4 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...
AMFG
2003
IEEE
121views Biometrics» more  AMFG 2003»
15 years 3 months ago
Human Body Tracking with Auxiliary Measurements
This paper presents two techniques for improving human body tracking within the particle filtering scheme. Both techniques explore the use of auxiliary measurements. The first tec...
Mun Wai Lee, Isaac Cohen
ICCV
2003
IEEE
15 years 12 months ago
Tracking Articulated Body by Dynamic Markov Network
A new method for visual tracking of articulated objects is presented. Analyzing articulated motion is challenging because the dimensionality increase potentially demands tremendou...
Ying Wu, Gang Hua, Ting Yu
EMMCVPR
2007
Springer
15 years 4 months ago
Bottom-Up Recognition and Parsing of the Human Body
Recognizing humans, estimating their pose and segmenting their body parts are key to high-level image understanding. Because humans are highly articulated, the range of deformation...
Praveen Srinivasan, Jianbo Shi