CUED Publications database

Aerodynamic analysis via foreground segmentation

Carey, P and Bennett, S and Lasenby, J and Purnell, T (2016) Aerodynamic analysis via foreground segmentation. Electronic Imaging, Computer Vision Applications in Sports, 2017. pp. 10-14.

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Results from wind-tunnel testing of athletes cannot always be repeated on the track, but reducing aerodynamic drag is critical for racing. Drag force is highly correlated with an athlete's frontal area, so in this paper we describe a system to segment an athlete from the very challenging background found in a standard racing environment. Given an accurate segmentation, a front-on view, and the athlete's position (for scaling), one can effectively count the pixels and thereby measure the moving area. The method described does not rely on alteration of the track lighting, background, or athlete's appearance. An image-matting algorithm more used in the film industry is combined with an innovative model-based pre-process to allow the whole measurement to be automated. Area results have better than one percent error compared to handextracted measurements over a representative period, while frame-by-frame measurements capture expected cyclic variation. A near real-time implementation permits rapid iteration of aerodynamic experiments during training.

Item Type: Article
Uncontrolled Keywords: foreground segmentation natural image matting quantitative sports analysis video aerodynamic analysis
Divisions: Div F > Signal Processing and Communications
Depositing User: Cron Job
Date Deposited: 17 Jul 2017 20:02
Last Modified: 02 Sep 2021 04:20
DOI: 10.2352/ISSN.2470-1173.2017.16.CVAS-343