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Authors: Mohammadmehdi Saberioon ; Petr Cisar and Jan Urban

Affiliation: Institute of Complex Systems, Faculty of Fisheries and Protection of Waters and University of South Bohemia in České Budějovice, Czech Republic

ISBN: 978-989-758-170-0

Keyword(s): Fish Tracking, 3D Single Point Imaging, Kinect, Trajectory.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Biomedical Engineering ; Biomedical Signal Processing ; Computer Vision, Visualization and Computer Graphics ; Detection and Identification ; Medical Image Detection, Acquisition, Analysis and Processing ; Monitoring and Telemetry

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 m ultiple 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. (More)

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Paper citation in several formats:
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

@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},
}

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

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