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Fish monitoring in complex environment
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Paper Abstract

Aquaculture farm provides a solution towards the overfishing phenomena. However, maintaining big scale farms manually requires going through hours of video footages to collect important information about the fishes. These footages are usually taken by an underwater camera affixed in many different ways within the farm’s cage and are manually analyzed by human operators. Since they are limited to biological restrictions, issues such as wandering attention span or human error may occur. This paper proposes a non-intrusive and automated way of extracting meaningful information such as number of fishes from underwater video footages of fishes, using image processing techniques. Experimental results shows that the system managed to achieve 74.59% accuracy for correctly counting fishes.

Paper Details

Date Published: 22 March 2019
PDF: 6 pages
Proc. SPIE 11049, International Workshop on Advanced Image Technology (IWAIT) 2019, 1104902 (22 March 2019); doi: 10.1117/12.2521251
Show Author Affiliations
Yi Jun Ling, Univ. Tunku Abdul Rahman (Malaysia)
Phooi Yee Lau, Univ. Tunku Abdul Rahman (Malaysia)


Published in SPIE Proceedings Vol. 11049:
International Workshop on Advanced Image Technology (IWAIT) 2019
Qian Kemao; Kazuya Hayase; Phooi Yee Lau; Wen-Nung Lie; Yung-Lyul Lee; Sanun Srisuk; Lu Yu, Editor(s)

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