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
This work is licensed under a Creative Commons Attribution 4.0 International License.
Rights
© Nicholas Howe
Recommended Citation
Howe, Nicholas, "Boundary Fragment Matching and Articulated Pose Under Occlusion" (2006). Computer Science: Faculty Publications, Smith College, Northampton, MA.
https://scholarworks.smith.edu/csc_facpubs/117
Talk
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/