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ICPR
2000
IEEE
14 years 6 months ago
Estimation of the Location of Joint Points of Human Body from Successive Volume Data
Recognizing structure of human body is important for modeling human motion. Human body is usually represented as an articulate model, which consists of the rigid parts and the joi...
Masaaki Iiyama, Yoshinari Kameda, Michihiko Minoh
CVPR
2008
IEEE
14 years 7 months ago
Max Margin AND/OR Graph learning for parsing the human body
We present a novel structure learning method, Max Margin AND/OR Graph (MM-AOG), for parsing the human body into parts and recovering their poses. Our method represents the human b...
Long Zhu, Yuanhao Chen, Yifei Lu, Chenxi Lin, Alan...
GW
2007
Springer
241views Biometrics» more  GW 2007»
13 years 12 months ago
Representation of Human Postures for Vision-Based Gesture Recognition in Real-Time
In this paper, we present a Vision-Based Interface guided by the user gestures. The advantage of our system is that it is built over a motion capture system that recovers the body ...
Antoni Jaume-i-Capó, Javier Varona, Francis...
BMVC
2010
13 years 3 months ago
Clustered Pose and Nonlinear Appearance Models for Human Pose Estimation
We investigate the task of 2D articulated human pose estimation in unconstrained still images. This is extremely challenging because of variation in pose, anatomy, clothing, and i...
Sam Johnson, Mark Everingham
MLMI
2007
Springer
13 years 12 months ago
Gaussian Process Latent Variable Models for Human Pose Estimation
We describe a method for recovering 3D human body pose from silhouettes. Our model is based on learning a latent space using the Gaussian Process Latent Variable Model (GP-LVM) [1]...
Carl Henrik Ek, Philip H. S. Torr, Neil D. Lawrenc...