Maritime Targets Detection from Ground Cameras Exploiting Semi-supervised Machine Learning

Eftychios Protopapadakis, Konstantinos Makantasis, Nikolaos Doulamis

2015

Abstract

This paper presents a vision-based system for maritime surveillance, using moving PTZ cameras. The proposed methodology fuses a visual attention method that exploits low-level image features appropriately selected for maritime environment, with appropriate tracker. Such features require no assumptions about environmental nor visual conditions. The offline initialization is based on large graph semi-supervised technique in order to minimize user’s effort. System’s performance was evaluated with videos from cameras placed at Limassol port and Venetian port of Chania. Results suggest high detection ability, despite dynamically changing visual conditions and different kinds of vessels, all in real time.

Paper Citation

in Harvard Style

Protopapadakis E., Makantasis K. and Doulamis N. (2015). Maritime Targets Detection from Ground Cameras Exploiting Semi-supervised Machine Learning . In Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 2: MMS-ER3D, (VISIGRAPP 2015) ISBN 978-989-758-090-1, pages 583-594. DOI: 10.5220/0005456205830594

in Bibtex Style

@conference{mms-er3d15,
author={Eftychios Protopapadakis and Konstantinos Makantasis and Nikolaos Doulamis},
title={Maritime Targets Detection from Ground Cameras Exploiting Semi-supervised Machine Learning},
booktitle={Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 2: MMS-ER3D, (VISIGRAPP 2015)},
year={2015},
pages={583-594},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005456205830594},
isbn={978-989-758-090-1},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 2: MMS-ER3D, (VISIGRAPP 2015)
TI - Maritime Targets Detection from Ground Cameras Exploiting Semi-supervised Machine Learning
SN - 978-989-758-090-1
AU - Protopapadakis E.
AU - Makantasis K.
AU - Doulamis N.
PY - 2015
SP - 583
EP - 594
DO - 10.5220/0005456205830594