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Authors: Concetto Spampinato 1 ; Yun-Heh Chen-Burger 2 ; Gayathri Nadarajan 2 and Robert B. Fisher 2

Affiliations: 1 University of Catania, Italy ; 2 School of Informatics, University of Edinburgh, United Kingdom

ISBN: 978-989-8111-21-0

Keyword(s): Motion detection, Tracking, Fish image processing, Under-water marine life observation.

Related Ontology Subjects/Areas/Topics: Applications ; Computer Vision, Visualization and Computer Graphics ; Human-Computer Interaction ; Methodologies and Methods ; Motion and Tracking ; Motion, Tracking and Stereo Vision ; Pattern Recognition ; Physiological Computing Systems

Abstract: In this work a machine vision system capable of analysing underwater videos for detecting, tracking and counting fish is presented. The real-time videos, collected near the Ken-Ding sub-tropical coral reef waters are managed by EcoGrid, Taiwan and are barely analysed by marine biologists. The video processing system consists of three subsystems: the video texture analysis, fish detection and tracking modules. Fish detection is based on two algorithms computed independently, whose results are combined in order to obtain a more accurate outcome. The tracking was carried out by the application of the CamShift algorithm that enables the tracking of objects whose numbers may vary over time. Unlike existing fish-counting methods, our approach provides a reliable method in which the fish number is computed in unconstrained environments and under several scenarios (murky water, algae on camera lens, moving plants, low contrast, etc.). The proposed approach was tested with 20 underwater videos , achieving an overall accuracy as high as 85%. (More)

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Paper citation in several formats:
Spampinato C.; Chen-Burger Y.; Nadarajan G.; B. Fisher R. and (2008). DETECTING, TRACKING AND COUNTING FISH IN LOW QUALITY UNCONSTRAINED UNDERWATER VIDEOS.In Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008) ISBN 978-989-8111-21-0, pages 514-519. DOI: 10.5220/0001077705140519

@conference{visapp08,
author={Concetto Spampinato and Yun{-}Heh Chen{-}Burger and Gayathri Nadarajan and Robert {B. Fisher}},
title={DETECTING, TRACKING AND COUNTING FISH IN LOW QUALITY UNCONSTRAINED UNDERWATER VIDEOS},
booktitle={Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)},
year={2008},
pages={514-519},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001077705140519},
isbn={978-989-8111-21-0},
}

TY - CONF

JO - Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)
TI - DETECTING, TRACKING AND COUNTING FISH IN LOW QUALITY UNCONSTRAINED UNDERWATER VIDEOS
SN - 978-989-8111-21-0
AU - Spampinato, C.
AU - Chen-Burger, Y.
AU - Nadarajan, G.
AU - B. Fisher, R.
PY - 2008
SP - 514
EP - 519
DO - 10.5220/0001077705140519

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