Title :
Ship detection for automating navigational watch
Author :
Matsumoto, Yohei
Author_Institution :
Dept. of Marine Eng., Tokyo Univ. of Marine Sci. & Technol., Tokyo, Japan
Abstract :
Automatic navigational watch system is currently under development. Because the system should detect ships over a miles away from own ship, the depth of the field is extremely deeper than that of ordinal computer vision applications. This paper shows the results applying typical HOG (Histograms of Oriented Gradients)-SVM (Support Vector Machine) based sliding window object detector to the navigational images, and discusses the difficulties and their possible remedies.
Keywords :
computer vision; computerised navigation; marine navigation; object detection; ships; support vector machines; HOG-SVM; automatic navigational watch system; computer vision application; histograms of oriented gradient; ship detection; sliding window object detector; support vector machine; Manuals; Support vector machine classification; Training; HOG; Navigation; SVM; Ship;
Conference_Titel :
World Automation Congress (WAC), 2014
Conference_Location :
Waikoloa, HI
DOI :
10.1109/WAC.2014.6935702
