Tracking and removal of suspended matter from underwater video images

T. Komuro; K. Chen; K. Enomoto; M. Toda; N. Tezuka

doi:10.1117/12.2264066

14 May 2017 Tracking and removal of suspended matter from underwater video images

T. Komuro, K. Chen, K. Enomoto, M. Toda, N. Tezuka

Proceedings Volume 10338, Thirteenth International Conference on Quality Control by Artificial Vision 2017; 103380Y (2017) https://doi.org/10.1117/12.2264066
Event: The International Conference on Quality Control by Artificial Vision 2017, 2017, Tokyo, Japan

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.

Citation Download Citation

T. Komuro, K. Chen, K. Enomoto, M. Toda, and N. Tezuka "Tracking and removal of suspended matter from underwater video images", Proc. SPIE 10338, Thirteenth International Conference on Quality Control by Artificial Vision 2017, 103380Y (14 May 2017); https://doi.org/10.1117/12.2264066

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available