Detection Object on Sea Surface to Avoid Collision with Post-Processed in Background Subtraction Image

• Published in: JOIV : international journal on informatics visualization Online Vol. 3; no. 2; pp. 132 - 135
• Main Authors: Fitrawan, Alif Akbar, Shodiq, Mohammad Nur, Kusuma, Dedy Hidayat
• Format: Journal Article
• Language: English
• Published: Politeknik Negeri Padang 08.03.2019
• Subjects: background subtraction, post-processed; collision avoidance; sea surface
• ISSN: 2549-9610; 2549-9904
• DOI: 10.30630/joiv.3.2.207

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