Motion capture and human pose reconstruction from a single-view video sequence
Date
2013
Authors
Advisor
Instructor
Source Title
Digital Signal Processing
Print ISSN
1051-2004
Electronic ISSN
Publisher
Academic Press
Volume
23
Issue
5
Pages
1441 - 1450
Language
English
Type
Article
Journal Title
Journal ISSN
Volume Title
Abstract
We propose a framework to reconstruct the 3D pose of a human for animation from a sequence of single-view video frames. The framework for pose construction starts with background estimation and the performer's silhouette is extracted using image subtraction for each frame. Then the body silhouettes are automatically labeled using a model-based approach. Finally, the 3D pose is constructed from the labeled human silhouette by assuming orthographic projection. The proposed approach does not require camera calibration. It assumes that the input video has a static background, it has no significant perspective effects, and the performer is in an upright position. The proposed approach requires minimal user interaction. © 2013 Elsevier Inc.
Course
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Book Title
Keywords
Animation, Computer vision, Human pose reconstruction, Motion capture, Single camera, Uncalibrated camera, Background estimation, Camera calibration, Human pose, Model based approach, Orthographic projections, Three dimensional