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Labelled silhouettes for human pose estimation

Chen, Daniel C.Y. & Fookes, Clinton B. (2010) Labelled silhouettes for human pose estimation. In Proceedings of 10th International Conference on Information Science, Signal Processing and their Applications, Renaissance Hotel, Kuala Lumpur. (In Press)

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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.

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ID Code: 31436
Item Type: Conference Paper
Keywords: pose estimation, motion capture, optical flow
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Computer Vision (080104)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Image Processing (080106)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Institutes > Information Security Institute
Past > Schools > School of Engineering Systems
Copyright Owner: Copyright 2010 [please consult the authors]
Deposited On: 22 Mar 2010 15:36
Last Modified: 01 Mar 2012 00:19

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