Model based Full Body Human Motion Reconstruction from Video Data
In proceedings of 6 th International Conference on Computer Vision / Computer Graphics Collaboration Techniques and Applications (MIRAGE 2013), Berlin, Germany, Juni 2013
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 twodimensional 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.
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Bibtex
@INPROCEEDINGS{yasin-2013, author = {Yasin, Hashim and Kr{\"u}ger, Bj{\"o}rn and Weber, Andreas}, title = {Model based Full Body Human Motion Reconstruction from Video Data}, booktitle = {6 th International Conference on Computer Vision / Computer Graphics Collaboration Techniques and Applications (MIRAGE 2013)}, year = {2013}, month = jun, location = {Berlin, Germany}, 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 twodimensional 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.} }