Vessel-speed Enforcement System by Multi-camera Detection and Re-identification

H. G. J. Groot, M. H. Zwemer, M. H. Zwemer, R. G. J. Wijnhoven, Y. Bondarev, P. H. N. de With

2020

Abstract

In crowded waterways, maritime traffic is bound to speed regulations for safety reasons. Although several speed measurement techniques exist for road traffic, no known systems are available for maritime traffic. In this paper, we introduce a novel vessel speed enforcement system, based on visual detection and re-identification between two cameras along a waterway. We introduce a newly captured Vessel-reID dataset, containing 2,474 unique vessels. Our vessel detector is based on the Single Shot Multibox Detector and localizes vessels in each camera individually. Our re-identification algorithm, based on the TriNet model, matches vessels between the cameras. In general, vessels are detected over a large range of their in-view trajectory (over 92% and 95%, for Camera 1 and 2, respectively), which makes the re-identification experiments reliable. For re-identification, application specific techniques, i.e. trajectory matching and time filtering, improve our baseline re-identification model (49.5% mAP) with over 20% mAP. In the final evaluation, we show that 77% (Rank-1 score) of the vessels are correctly re-identified in the other camera. This final result presents a feasible score for our novel vessel re-identification application. Moreover, our result could be further improved, as we have tested on new unseen data during other weather conditions.

Paper Citation

in Harvard Style

Groot H., Zwemer M., Wijnhoven R., Bondarev Y. and de With P. (2020). Vessel-speed Enforcement System by Multi-camera Detection and Re-identification. In Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 5: VISAPP; ISBN 978-989-758-402-2, SciTePress, pages 268-277. DOI: 10.5220/0008911202680277

in Bibtex Style

@conference{visapp20,
author={H. G. J. Groot and M. H. Zwemer and R. G. J. Wijnhoven and Y. Bondarev and P. H. N. de With},
title={Vessel-speed Enforcement System by Multi-camera Detection and Re-identification},
booktitle={Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 5: VISAPP},
year={2020},
pages={268-277},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008911202680277},
isbn={978-989-758-402-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 5: VISAPP
TI - Vessel-speed Enforcement System by Multi-camera Detection and Re-identification
SN - 978-989-758-402-2
AU - Groot H.
AU - Zwemer M.
AU - Wijnhoven R.
AU - Bondarev Y.
AU - de With P.
PY - 2020
SP - 268
EP - 277
DO - 10.5220/0008911202680277
PB - SciTePress