FishEye: A Centroid-Based Stereo Vision Fish Tracking Using Multigene Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8010
- @InProceedings{Palconit:2021:R10-HTC,
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author = "Maria Gemel Palconit and Michael Pareja and
Argel Bandala and Jason Espanola and Ryan Rhay Vicerra and
Ronnie Concepcion and Edwin Sybingco and Elmer Dadios",
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title = "FishEye: A Centroid-Based Stereo Vision Fish Tracking
Using Multigene Genetic Programming",
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booktitle = "2021 IEEE 9th Region 10 Humanitarian Technology
Conference (R10-HTC)",
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year = "2021",
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abstract = "Investigating the sharp movements and habitat use of
active fishes has traditionally been difficult in
aquaculture. This study focuses on improving the
prediction of tracking and tagging fish in the
three-dimensional form (stereovision). This study used
two identical devices to capture videos represented as
left and right cameras. As with the location of the
aquaculture tank, it was in an environmental outdoor
lighting condition containing the three sampled fish.
The recorded videos have 20 seconds duration showing
the movements of fish. Here, extraction of frames
occurs and applies computer vision to get the $x$ and y
centroid components. The use of the triangulation
method was employed to generate the z point of fish
images. Multigene genetic programming (MGGP) was used
and explored in fish trajectory prediction resulting in
7.7percent, 13.3percent, and 8.9percent mean absolute
percentage error for fish 1, 2, 3, and respectively.
These findings have prompted the authors and
researchers to expand their research to use these
methods to track fish.",
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keywords = "genetic algorithms, genetic programming",
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DOI = "doi:10.1109/R10-HTC53172.2021.9641654",
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ISSN = "2572-7621",
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month = sep,
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notes = "Also known as \cite{9641654}",
- }
Genetic Programming entries for
Maria Gemel B Palconit
Michael Pareja
Argel A Bandala
Jason L Espanola
Ryan Rhay P Vicerra
Ronnie S Concepcion II
Edwin Sybingco
Elmer Jose P Dadios
Citations