Dual Gait Generative Models for Human Motion Estimation From a Single Camera

Abstract

This paper presents a general gait representation framework for video-based human motion estimation. Specifically, we want to estimate the kinematics of an unknown gait from image sequences taken by a single camera. This approach involves two generative models, called the kinematic gait generative model (KGGM) and the visual gait generative model (VGGM… (More)
DOI: 10.1016/j.imavis.2012.12.001

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@article{Zhang2010DualGG, title={Dual Gait Generative Models for Human Motion Estimation From a Single Camera}, author={Xin Zhang and Guoliang Fan and Li-Shan Chou}, journal={IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics)}, year={2010}, volume={40}, pages={1034-1049} }