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dc.contributor.authorMaurya, A.
dc.contributor.authorGovekar, R.
dc.contributor.authorMaurya, P.
dc.contributor.authorChaterjee, A.
dc.contributor.editorPillai, P.R.S.
dc.contributor.editorSupriya, M.H.
dc.contributor.editorArun, A.B.
dc.date.accessioned2020-03-31
dc.date.accessioned2021-02-09T10:13:25Z
dc.date.available2019-12-13
dc.date.available2021-02-09T10:13:25Z
dc.date.issued2019
dc.identifier.citationin: Pillai, P.R.S., Supriya, M.H., Arun, A.B. (Eds.), International Symposium on Ocean Technology, SYMPOL; 11-13 Dec. 2019, Cochin University of Science and Technology, Kochi - 682 022, India . IEEE Computer Society, Kochi, 2019, pp. 174-180
dc.identifier.isbn978-1-7281-5326-1
dc.identifier.issn2326-5566
dc.identifier.otherhttps://ieeexplore.ieee.org/abstract/document/9005286
dc.identifier.urihttps://doi.org/10.1109/SYMPOL48207.2019.9005286
dc.identifier.urihttp://drs.nio.org/drs/handle/2264/8582
dc.descriptionIF2018 - No Impact Factor
dc.description.abstractThe purpose of our work is to detect and estimate the size of underwater coral reef from image frames using vision based technique. Deep learning architecture is proposed to detect the coral reefs. To extract the frames and build data set, real time underwater video is used. The size of reef is estimated using distance-based algorithm with detected coral information. A nonlinear function is formulated and optimized to get accurate reef size as pixels taken by it in image changes with distance. This algorithm can also be used for real-time analysis of the underwater environment. It is evident from the analysis results and comparison with actual data that the proposed method is accurate in estimating the area occupied by underwater coral reefs.
dc.languageen
dc.publisherIEEE
dc.relation.ispartofInt Symp Ocean Technol SYMPOL; 11-13 Dec 2019, Cochin Univ Sci Technol Kochi - 682 022, India
dc.relation.isreferencedbyNON-SCI
dc.rightsOnly the author version of the copright reserved papers uploaded. Contact drs@nio.org for any complaints regarding copyright violations
dc.titleVision Based Underwater Environment Analysis: A Novel Approach to Estimate Size of Coral Reefs
dc.typeBook Chapter
dc.affiliation.authorNational Institute of Technology, Goa, India


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