3D Single Point Imaging Technology for Tracking Multiple Fish

Mohammadmehdi Saberioon, Petr Cisar, Jan Urban

Abstract

Image based tracking like video tracking has shown potential in aquaculture behavioural studies in past decade. Image based tracking is allowing to have higher spatial and temporal resolution in compared to most conventional methods such as hand scoring, tagging and telemetry. They also permit to have more information about the environment rather than other methods. Most studies about trajectory are based on tracking in two dimensional (2D) environments; however, organisms are mostly included in three dimensional (3D) environments which influence ecological interactions extensively. Furthermore, in 2D image analysis, occlusion of fish is a frequent problem for analysis of fish tracking and ultimately their behaviour. Recently, new hardware based on single point 3D imaging technology have been developed which can provide 3D single points in real-time by combining a colour video camera, infrared video camera with an infrared projector. The main objective of this study was to develop a multiple fish tracking system in 3D space based on the current available 3D imaging technology. Developed system could accurately (98%) track multiple Tilapia (Oreochromis niloticus) which was freely swimming in an aquarium. This study contributes to feasibility of new sensors to monitor fish behaviours in 3D space.

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Paper Citation


in Harvard Style

Saberioon M., Cisar P. and Urban J. (2016). 3D Single Point Imaging Technology for Tracking Multiple Fish . In Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: BIOSIGNALS, (BIOSTEC 2016) ISBN 978-989-758-170-0, pages 115-121. DOI: 10.5220/0005634001150121


in Bibtex Style

@conference{biosignals16,
author={Mohammadmehdi Saberioon and Petr Cisar and Jan Urban},
title={3D Single Point Imaging Technology for Tracking Multiple Fish},
booktitle={Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: BIOSIGNALS, (BIOSTEC 2016)},
year={2016},
pages={115-121},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005634001150121},
isbn={978-989-758-170-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: BIOSIGNALS, (BIOSTEC 2016)
TI - 3D Single Point Imaging Technology for Tracking Multiple Fish
SN - 978-989-758-170-0
AU - Saberioon M.
AU - Cisar P.
AU - Urban J.
PY - 2016
SP - 115
EP - 121
DO - 10.5220/0005634001150121