RECOGNITION AND TRACKING OF MOVING OBJECT IN UNDERWTAER SONAR IMAGES
DOI:
https://doi.org/10.20894/IJMSR.117.008.001.010Keywords:
RGB, Underwater, Object recognition, System, computerization, Database, Internet.Abstract
This paper presents an resourceful technique which can be used for underwater object recognition system computerization. The mainly vital thing in underwater image processing is collection of processing domain (like RGB, Gray- scale, R, G, B etc) and filter. The tracking was carried out by the application of Wiener filter that enables the tracking of objects. Underwater image processing for object recognition is a system which loads a image, pre- processes the image, filters and scales the image to find the object.
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References
[1] SamanPoursoltan, Russell Brinkworth, Matthew Sorell “Biologically-inspired Video Enhancement Method For Robust Shape Recognition,” University of Adelaide, Australia, IEEE, 2013.
[2] Prabhakar C J & Praveen Kumar P U. “Feature Tracking of Objects in Underwater VideoSequences.”, Kuvempu University, India, ACEEE 2012.
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[8] PiotrJasiobedzki, Stephen Se, Michel Bondy, and Roy Jakola,“Underwater 3D mapping and pose estimation for ROVoperations”, OCEANS 2008, pp. 1-6, September 2008.,IEEE JOURNAL OF OCEAN ENGINEERING, VOL. 28,No 4,OCTOBER 2003, pg-673 to 678.
[2] Prabhakar C J & Praveen Kumar P U. “Feature Tracking of Objects in Underwater VideoSequences.”, Kuvempu University, India, ACEEE 2012.
[3] SaeedVahabiMashak, BehnamHosseini, S.A.R. Abu-Bakar.“Background Subtraction for Object Detection under Varying Environments.”UniversitiTeknologi Malaysia, IJCISIMA, 2012
[4] M. Weber, M. Welling, and P. Perona. “Detecting ,Tracking And Counting Fish In Low Quality Unconstrained Underwater Videos” University of Edinburgh, Edinburgh, UK.
[5]“Underwater ColorConstancy :Enhancement of Automatic Live Fish Recognition” M. Chambah, D. Semani, A. Renouf, P. Courtellemont, A. Rizzi, Université de La Rochelle, France, Dept. of Information Technology - University of Milano/Italy
[6] CodrutaOrnianaAncuti, CosminAncuti, Tom Haber and Philippe Bekaert “FUSION-BASED RESTORATION OF THE UNDERWATER IMAGES,” Belgium, IEEE, 2011.
[7] MohamedAmer, Emil Bilgazyev “Fine-grained Categorization of Fish Motion Patterns in Underwater Videos”, Oregon State University, ICCV, 2011
[8] PiotrJasiobedzki, Stephen Se, Michel Bondy, and Roy Jakola,“Underwater 3D mapping and pose estimation for ROVoperations”, OCEANS 2008, pp. 1-6, September 2008.,IEEE JOURNAL OF OCEAN ENGINEERING, VOL. 28,No 4,OCTOBER 2003, pg-673 to 678.
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Published
2016-12-12
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