Document Type

Conference Proceeding

Publication Date

7-2006

Publication Title

IV Conference on Articulated Motion and Deformable Objects

Abstract

Silhouette recognition can reconstruct the three-dimensional pose of a human subject in monocular video so long as the camera’s view remains unoccluded by other objects. This paper develops a shape representation that can describe and compare partial shapes, extending the silhouette recognition technique to apply to video with occlusions. The new method operates without human intervention, and experiments demonstrate that it can reconstruct accurate three-dimensional articulated pose tracks from single-camera walking video despite occlusion of one-third to one-half of the subject.

Creative Commons License

Creative Commons Attribution 4.0 License
This work is licensed under a Creative Commons Attribution 4.0 License.

Rights

© Nicholas Howe

Comments

Author’s submitted manuscript.

Follow link below to page containing video to supplement the paper Boundary Fragment Matching and Articulated Pose Under Occlusion, accepted to the IV Conference on Articulated Motion and Deformable Objects, July 2006. For clarity, time has been slowed down in these videos. All videos use MPEG-4 compression. http://cs.smith.edu/~nhowe/research/amdo06/

amdo06talk.pdf (8328 kB)
Talk

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