Infrared Depth Camera System for Real-time European Lobster Behavior Analysis

Sheng Yan, Jo Arve Alfredsen

2018

Abstract

European lobster is a highly treasured seafood, but aquaculture production based on traditional communal rearing practices has proved challenging for this species due to its inherent agonistic behavior. This paper presents a novel computer vision system that is designed for analysis of lobster behavior and can serve as a tool to assist selection of breeding stock in a prospective selective breeding program for European lobster. The automated tracking system provides large quantities of behavioral data for boldness and aggressiveness analysis, and the infrared light source causes less disturbance to the nocturnal animal under observance. In addition, because the object is recognized based on depth information instead of color or grayscale pattern recognition, there are no restrictions on the selection of color or material for the substrate in the experimental setup. This paper also contributes towards diminishing tracking error caused by water surface reflection and robust body orientation estimation in case of inaccurate body segmentation. We tested ten European lobsters sized between 25-30 cm to demonstrate the performance and effectiveness of our proposed algorithm.

Paper Citation

in Harvard Style

Yan S. and Arve Alfredsen J. (2018). Infrared Depth Camera System for Real-time European Lobster Behavior Analysis. In Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018) - Volume 5: VISAPP; ISBN 978-989-758-290-5, SciTePress, pages 596-602. DOI: 10.5220/0006723605960602

in Bibtex Style

@conference{visapp18,
author={Sheng Yan and Jo Arve Alfredsen},
title={Infrared Depth Camera System for Real-time European Lobster Behavior Analysis},
booktitle={Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018) - Volume 5: VISAPP},
year={2018},
pages={596-602},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006723605960602},
isbn={978-989-758-290-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018) - Volume 5: VISAPP
TI - Infrared Depth Camera System for Real-time European Lobster Behavior Analysis
SN - 978-989-758-290-5
AU - Yan S.
AU - Arve Alfredsen J.
PY - 2018
SP - 596
EP - 602
DO - 10.5220/0006723605960602
PB - SciTePress