Toward detection of marine vehicles on horizon from buoy camera

Sergiy Fefilatyev; Dmitry B. Goldgof; Lawrence Langebrake

doi:10.1117/12.747512

15 October 2007 Toward detection of marine vehicles on horizon from buoy camera

Sergiy Fefilatyev, Dmitry B. Goldgof, Lawrence Langebrake

Proceedings Volume 6736, Unmanned/Unattended Sensors and Sensor Networks IV; 67360O (2007) https://doi.org/10.1117/12.747512
Event: Optics/Photonics in Security and Defence, 2007, Florence, Italy

Abstract

This paper presents a new technique for automatic detection of marine vehicles in open sea from a buoy camera system using computer vision approach. Users of such system include border guards, military, port safety and flow management, sanctuary protection personnel. The system is intended to work autonomously, taking images of the surrounding ocean surface and analyzing them on the subject of presence of marine vehicles. The goal of the system is to detect an approximate window around the ship and prepare the small image for transmission and human evaluation. The proposed computer vision-based algorithm combines horizon detection method with edge detection and post-processing. The dataset of 100 images is used to evaluate the performance of proposed technique. We discuss promising results of ship detection and suggest necessary improvements for achieving better performance.

Citation Download Citation

Sergiy Fefilatyev, Dmitry B. Goldgof, and Lawrence Langebrake "Toward detection of marine vehicles on horizon from buoy camera", Proc. SPIE 6736, Unmanned/Unattended Sensors and Sensor Networks IV, 67360O (15 October 2007); https://doi.org/10.1117/12.747512

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