Automatic pose initialization of swimmers in videos

Christian X. Ries; Rainer Lienhart

doi:10.1117/12.838727

18 January 2010 Automatic pose initialization of swimmers in videos

Christian X. Ries, Rainer Lienhart

Proceedings Volume 7543, Visual Information Processing and Communication; 75430J (2010) https://doi.org/10.1117/12.838727
Event: IS&T/SPIE Electronic Imaging, 2010, San Jose, California, United States

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.

Citation Download Citation

Christian X. Ries and Rainer Lienhart "Automatic pose initialization of swimmers in videos", Proc. SPIE 7543, Visual Information Processing and Communication, 75430J (18 January 2010); https://doi.org/10.1117/12.838727

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