J-KOMA : Jurnal Ilmu Komputer dan Aplikasi
Vol 7 No 1 (2024): J-KOMA : Jurnal Ilmu Komputer dan Aplikasi

Tracking Pergerakan Ikan menggunkan model Gaussian Mixture (GMM) dan Kalman Filter

Alim, Hafizhun (Unknown)
Muhammad, Eka Suryana (Unknown)
Mulyono (Unknown)

Article Info

Publish Date
28 Nov 2024

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.

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Journal Info
J-KOMA : Jurnal Ilmu Komputer dan Aplikasi
Website

Abbrev

jkoma

Publisher

Universitas Negeri Jakarta

Subject

Computer Science & IT

Description

J-KOMA is an open access journal, with core focus in two aspect: computer science general and information technology. All copyrights are retained by each respective author, but we hold publishing right. Currently, this journal has E-ISSN :2620-4827 published by LIPI which made it as a national ...