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Labelled silhouettes for human pose estimation

By Daniel C.Y. Chen and Clinton B. Fookes

Abstract

This paper proposes a new method of using foreground silhouette images for human pose estimation. Labels are introduced to the silhouette images, providing an extra layer of information that can be used in the model fitting process. The pixels in the silhouettes are labelled according to the corresponding body part in the model of the current fit, with the labels propagated into the silhouette of the next frame to be used in the fitting for the next frame. Both single and multi-view implementations are detailed, with results showing performance improvements over only using standard unlabelled silhouettes

Topics: 080104 Computer Vision, 080106 Image Processing, pose estimation, motion capture, optical flow
Year: 2010
OAI identifier: oai:eprints.qut.edu.au:31436

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