ANN IN COUNTING AND CLASSIFICATION OF VESSELS FOR TRAFFIC RESEARCH (CROSBI ID 719287)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Vujović, Igor ; Petković, Miro ; Kuzmanić, Ivica ; Šoda, Joško
engleski
ANN IN COUNTING AND CLASSIFICATION OF VESSELS FOR TRAFFIC RESEARCH
Data on traffic and types of ships are important for many researches. Manual counting of ships is impractical. Therefore, automated systems should be used. Ships with AIS can be counted automatically, but many ships do not have AIS transponder installed. Ships outside AIS can only be counted automatically by some kind of video surveillance. In order to count and classify ships in the maritime zone of Port of Split, we used artificial neural network and long range high resolution Dahua camera. Since the Port of Split is mainly a passenger and commercial terminal, we classified the ships into nine classes: small craft, motorboat, pleasure boat, fishing boat, yacht, excursion boat, high speed craft, ferry and cruiser.
Yolo 4 ; maritime zone surveillance ; counting of no-AIS vessels ; classification of maritime vessels
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Podaci o prilogu
421-424.
2022.
objavljeno
Podaci o matičnoj publikaciji
20TH INTERNATIONAL CONFERENCE ON TRANSPORT SCIENCE ICTS 2022, CONFERENCE PROCEEDINGS
Zanne, Marina ; Bajec, Patricija ; Twrdy, Elen
Portorož: Fakulteta za pomorstvo in promet Univerza v Ljubljani
Podaci o skupu
20th International Conference on Transport Science - ICTS 2022
predavanje
23.05.2022-24.05.2022
Portorož, Slovenija