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All Journal JOIV : International Journal on Informatics Visualization
Mohammad Nur Shodiq
Politeknik Negeri Banyuwangi, Jember, Indonesia
Computer Science & IT

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Detection Object on Sea Surface to Avoid Collision with Post-Processed in Background Subtraction Image Alif Akbar Fitrawan; Mohammad Nur Shodiq; Dedy Hidayat Kusuma
JOIV : International Journal on Informatics Visualization Vol 3, No 2 (2019)
Publisher : Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1110.18 KB) | DOI: 10.30630/joiv.3.2.207

Abstract

Data on shipping accident investigations from the National Transportation Safety Committee (NTSC) throughout 2010-2016 of fifty-four accident cases at sea, seventeen of which were accidents caused by collisions on ships in Indonesian waters, act to avoid a collision by detecting an object on the sea surface. Detection object is challenging because so many varieties object on the sea surface. Illumination variations with different seasons, periods, illumination intensity and direction affect the detection of objects directly. A rough sea is seen as a dynamic background of moving objects with size order and shape. All these factors make it difficult to object detection. Therefore, it is possible to conclude that background subtraction on sea surface problem remains open and a definitive robust solution is still missing. In this paper, we have applied a selection of background subtraction algorithms with post-processed to the problem. Experimental results with our dataset verify the high efficiency of our proposed method
Co-Authors Alif Akbar Fitrawan Kusuma, Dedy Hidayat