Title :
A vision system for underwater real-time control tasks
Author :
Ortiz, Alberto ; Oliver, Gabriel ; Frau, Juan
Author_Institution :
Dept. of Math. & Comput. Sci., Balearic Islands Univ., Spain
Abstract :
The framework of the research described in this paper is artificial object recognition in an unstructured environment. The mixture of natural and artificial objects as a general scenario has been an ill-defined problem up to now. One of the most interesting and challenging environments where the mentioned mixture appears is the sea-bed. This paper describes in-progress results in the development of a computer vision system capable of automatically detecting and tracking a submarine cable, using vision as the main source of information and producing results in real time
Keywords :
computer vision; image segmentation; marine systems; object recognition; optical tracking; real-time systems; computer vision; image segmentation; object recognition; real-time systems; sea-bed; submarine cable detection; tracking; underwater control; underwater vehicles; Cameras; Computer vision; Control systems; Inspection; Machine vision; Petroleum; Pipelines; Power cables; Real time systems; Underwater tracking;
Conference_Titel :
OCEANS '97. MTS/IEEE Conference Proceedings
Conference_Location :
Halifax, NS
Print_ISBN :
0-7803-4108-2
DOI :
10.1109/OCEANS.1997.624206