Swimmer position estimation by lane rectification

Takayuki Tsumita; Hidehiko Shishido; Itaru Kitahara; Yoshinari Kameda

doi:10.1117/12.2521242

22 March 2019 Swimmer position estimation by lane rectification

Takayuki Tsumita, Hidehiko Shishido, Itaru Kitahara, Yoshinari Kameda

Proceedings Volume 11049, International Workshop on Advanced Image Technology (IWAIT) 2019; 110490E (2019) https://doi.org/10.1117/12.2521242
Event: 2019 Joint International Workshop on Advanced Image Technology (IWAIT) and International Forum on Medical Imaging in Asia (IFMIA), 2019, Singapore, Singapore

Abstract

A new method of estimating swimmer position in swimming pool video is proposed. The video of swimming games is taken from a higher seat row in audience seat area. It can cover the whole field of a swimming pool. The swimming pool video is transformed so that each lane can be analyzed along with the lane direction. The foreground region that includes both the swimmer and their water splash is extracted by adaptive background modeling and by setting the mask region to cope with the influence of the non-planer water surface. Then, based on the color analysis on water splash, swimmer region can be successfully extracted. The position is estimated as the center of the Gaussian distribution of the swimmer region. The proposed method was applied to a nationwide swimming game.

Citation Download Citation

Takayuki Tsumita, Hidehiko Shishido, Itaru Kitahara, and Yoshinari Kameda "Swimmer position estimation by lane rectification", Proc. SPIE 11049, International Workshop on Advanced Image Technology (IWAIT) 2019, 110490E (22 March 2019); https://doi.org/10.1117/12.2521242

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