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Proceedings Paper

Tracking and removal of suspended matter from underwater video images
Author(s): T. Komuro; K. Chen; K. Enomoto; M. Toda; N. Tezuka
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Paper Abstract

We propose a method for obtaining clear underwater images by tracking the motion of suspended matter from video images captured in water and by separating the images into foreground and background. We assume that input images are the superposition of a foreground and a background, and constructed a transition model and the observation model. An input image is divided into patches and tracking of the foreground in each patch is performed while applying Kalman filter to separate the input images into the foreground and the background. From the result of the experiment using simulated images, we confirmed that the background images were successfully estimated and a region that was moving slowly was also recognized as a part of the background.

Paper Details

Date Published: 14 May 2017
PDF: 4 pages
Proc. SPIE 10338, Thirteenth International Conference on Quality Control by Artificial Vision 2017, 103380Y (14 May 2017); doi: 10.1117/12.2264066
Show Author Affiliations
T. Komuro, Saitama Univ. (Japan)
K. Chen, Saitama Univ. (Japan)
K. Enomoto, Niigata Univ. (Japan)
M. Toda, Kumamoto Univ. (Japan)
N. Tezuka, Japan Fisheries Research and Education Agency (Japan)


Published in SPIE Proceedings Vol. 10338:
Thirteenth International Conference on Quality Control by Artificial Vision 2017
Hajime Nagahara; Kazunori Umeda; Atsushi Yamashita, Editor(s)

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