9 February 2012 Swimmer detection and pose estimation for continuous stroke-rate determination
Author Affiliations +
In this work we propose a novel approach to automatically detect a swimmer and estimate his/her pose continuously in order to derive an estimate of his/her stroke rate given that we observe the swimmer from the side. We divide a swimming cycle of each stroke into several intervals. Each interval represents a pose of the stroke. We use specifically trained object detectors to detect each pose of a stroke within a video and count the number of occurrences per time unit of the most distinctive poses (so-called key poses) of a stroke to continuously infer the stroke rate. We extensively evaluate the overall performance and the influence of the selected poses for all swimming styles on a data set consisting of a variety of swimmers.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Dan Zecha, Dan Zecha, Thomas Greif, Thomas Greif, Rainer Lienhart, Rainer Lienhart, } "Swimmer detection and pose estimation for continuous stroke-rate determination", Proc. SPIE 8304, Multimedia on Mobile Devices 2012; and Multimedia Content Access: Algorithms and Systems VI, 830410 (9 February 2012); doi: 10.1117/12.908309; https://doi.org/10.1117/12.908309

Back to Top