Clustered Pose and Nonlinear Appearance Models for Human Pose Estimation
Published: Jan 1, 2010
Abstract
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 imaging conditions. Current methods use simple models of body part appearance and plausible configurations due to limitations of available training data and constraints on computational expense. We show that such models severely limit accuracy. Building on the successful...
Paper Details
Title
Clustered Pose and Nonlinear Appearance Models for Human Pose Estimation
Published Date
Jan 1, 2010
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