In this paper we present a method for synthesizing videos of human motion by splicing together clips of input video. There are two main contributions in this work. The first is developing a method for "kinematically correct morphing" of images of human figure, which is used to splice together the clips in input video in a manner that produces smooth output sequences. The second contribution of this work is the application of activity recognition algorithms to our input data in order to automatically extract action labels, which allow us to control the synthesized video by issuing high-level action commands. We present results of synthetic sequences on two domains: ballet and tennis.
Title
Video Based Motion Synthesis by Splicing and Morphing
Published
2004-06-01
Full Collection Name
Electrical Engineering & Computer Sciences Technical Reports
Other Identifiers
CSD-04-1337
Type
Text
Extent
17 p
Archive
The Engineering Library
Usage Statement
Researchers may make free and open use of the UC Berkeley Library’s digitized public domain materials. However, some materials in our online collections may be protected by U.S. copyright law (Title 17, U.S.C.). Use or reproduction of materials protected by copyright beyond that allowed by fair use (Title 17, U.S.C. § 107) requires permission from the copyright owners. The use or reproduction of some materials may also be restricted by terms of University of California gift or purchase agreements, privacy and publicity rights, or trademark law. Responsibility for determining rights status and permissibility of any use or reproduction rests exclusively with the researcher. To learn more or make inquiries, please see our permissions policies (https://www.lib.berkeley.edu/about/permissions-policies).
