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| Content Provider | ACM Digital Library |
|---|---|
| Author | Krüger, Björn Yasin, Hashim Weber, Andreas |
| Abstract | This paper introduces a novel framework for full body human motion reconstruction from 2D video data using a motion capture database as knowledge base containing information on how people move. By extracting suitable two-dimensional features from both, the input video sequence and the motion capture database, we are able to employ an efficient retrieval technique to run a data-driven optimization. Only little preprocessing is needed by our method, the reconstruction process runs close to real time. We evaluate the proposed techniques on synthetic two-dimensional input data obtained from motion capture data and on real video data. |
| Starting Page | 1 |
| Ending Page | 8 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781450320238 |
| DOI | 10.1145/2466715.2466722 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2013-06-06 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Motion retrieval Motion reconstruction Data-driven optimization |
| Content Type | Text |
| Resource Type | Article |
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