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All Journal J-KOMA : Jurnal Ilmu Komputer dan Aplikasi
Alim, Hafizhun
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Computer Science & IT

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Tracking Pergerakan Ikan menggunkan model Gaussian Mixture (GMM) dan Kalman Filter Alim, Hafizhun; Muhammad, Eka Suryana; Mulyono
J-KOMA : Jurnal Ilmu Komputer dan Aplikasi Vol 7 No 1 (2024): J-KOMA : Jurnal Ilmu Komputer dan Aplikasi
Publisher : Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/j-koma.v7i1.04

Abstract

Indonesia Fish industries is one of the large in the world for market capital which covers for both natural growing and intensive culture. One part of the most challenging problem for intensive culture is related to counting when harvesting which been done by hand all this time. In order to be more efficient, we propose this task can be done through automation with Gussian Mixture Model. The proposed system proven been able with low error rate that also resulting close estimate of fish object counting giiven various background videos.
Co-Authors Muhammad, Eka Suryana Mulyono