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Proceedings Paper

Automatic pose initialization of swimmers in videos
Author(s): Christian X. Ries; Rainer Lienhart
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Paper Abstract

We propose an approach to the task of automatic pose initialization of swimmers in videos. Thus, our goal is to detect a swimmer inside a target video and assign an estimated position to her/his body parts. We first apply a non-skin-color filter to reduce the search space inside each target frame. We then match previously devised template sequences of Gaussian feature descriptors against sequences of feature vectors which are computed within the remaining image regions. Finally, relative average joint positions from annotated images featuring the key pose are assigned to the detection result and three-dimensional joint positions are estimated. We present detection results for test videos of three different swim strokes and examine the performance of four types of feature descriptors.

Paper Details

Date Published: 18 January 2010
PDF: 12 pages
Proc. SPIE 7543, Visual Information Processing and Communication, 75430J (18 January 2010); doi: 10.1117/12.838727
Show Author Affiliations
Christian X. Ries, Univ. of Augsburg (Germany)
Rainer Lienhart, Univ. of Augsburg (Germany)

Published in SPIE Proceedings Vol. 7543:
Visual Information Processing and Communication
Amir Said; Onur G. Guleryuz, Editor(s)

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