A Bayesian approach for image-based underwater target tracking and navigation

dc.contributor.author	Muhammad Asif
dc.date.accessioned	2014-11-14T02:34:25Z
dc.date.available	2014-11-14T02:34:25Z
dc.date.issued	2007
dc.description	Master	en_US
dc.description.abstract	Undersea inspections and surveys are important requirements for offshore industry and mining organisation for various infra-structures installations. During the last decade, the use of underwater structure installations, such as oil or gas pipeline and telecommunication cables has increased many folds. Routine inspections are essential for preventive measures. Current method for the inspection and maintenance of underwater structures adopt video camera or vision sensor mounted on an autonomous underwater vehicle. Various vision based underwater inspection algorithm have been proposed worldwide. However, most of them have inadequate performance on complex marine environments using vision. The main objective of this research work is to implement a vision system capable of carrying out visually guided task using an AUV, and provide the necessary functionality for tracking underwater pipeline or cables in an image sequences.	en_US
dc.identifier.uri	http://hdl.handle.net/123456789/458
dc.language.iso	en	en_US
dc.subject	science mathematics	en_US
dc.subject	Bayesian approach	en_US
dc.subject	image-based underwater	en_US
dc.subject	target tracking	en_US
dc.subject	navigation	en_US
dc.title	A Bayesian approach for image-based underwater target tracking and navigation	en_US
dc.type	Thesis	en_US

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