Fish monitoring in complex environment

Yi Jun Ling; Phooi Yee Lau

doi:10.1117/12.2521251

22 March 2019 Fish monitoring in complex environment

Yi Jun Ling, Phooi Yee Lau

Proceedings Volume 11049, International Workshop on Advanced Image Technology (IWAIT) 2019; 1104902 (2019) https://doi.org/10.1117/12.2521251
Event: 2019 Joint International Workshop on Advanced Image Technology (IWAIT) and International Forum on Medical Imaging in Asia (IFMIA), 2019, Singapore, Singapore

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.

Citation Download Citation

Yi Jun Ling and Phooi Yee Lau "Fish monitoring in complex environment", Proc. SPIE 11049, International Workshop on Advanced Image Technology (IWAIT) 2019, 1104902 (22 March 2019); https://doi.org/10.1117/12.2521251

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KEYWORDS

Visualization

Video

Detection and tracking algorithms

Environmental monitoring

Image segmentation

Video processing

Cameras

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