Swimmer Detection and Pose Estimation for Continuous Stroke Rate Determination
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The success of a professional athlete depends quite strongly on the assessment and active improvement of his or her technique. In the field of competitive swimming, a quantitative evaluation is highly desirable to supplement the typical qualitative analysis. However, quantitative (manual) evaluations are very time consuming and therefore only used in individual cases.
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In a joint project with the Institute of Applied Training Science in Leipzig (Institut für angewandte Trainingswissenschaften, IAT), we are developing a system for detecting a swimmer in a swimming channel and continuously estimating his or her pose in order to capture (inner-)cyclic structures and derive kinematic parameters for a biomechanical analysis. Human pose recovery in aquatic environments faces a lot of challenges, from heavily cluttered fore- and background to partial occlusion.
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The purpose of this work is two-fold: firstly, we are developing a robust method for accurately detecting individual key poses with specifically trained object detectors. The procedure is fully automatic and retrieves stroke frequency, stroke length and inner-cycle intervals. Secondly, we optimize our approach in terms of time consumption through algorithmic optimizations, parallelization and GPU programming, allowing for real time application of our system.
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For more information please contact? Dan Zecha
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References:
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Dan Zecha, Thomas Greif, and Rainer Lienhart.?
Swimmer Detection and Pose Estimation for Continuous Stroke Rate Determination.?
Multimedia Content Access: Algorithms and Systems VI, part of IS&T/SPIE Electronic Imaging, 23 January 2012, Burlingame, California, USA.
Also Technical Report 2011-13, 威尼斯赌博游戏_威尼斯赌博app-【官网】 of Augsburg, Institute of Computer Science, July 2011.?[ PDF]?[ Video ] -
Dan Zecha and Rainer Lienhart.?
Bestimmung intrazyklischer Phasengeschwindigkeiten von Schwimmern im Schwimmkanal mittels vollautomatischer Videoanalyse.?
Technical Report 2014-04, 威尼斯赌博游戏_威尼斯赌博app-【官网】 of Augsburg, Institute of Computer Science, July 2014.?[ PDF ]