Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/72907
Title: Ship detection in videos
Authors: Muhammad Mukhtar
Keywords: DRNTU::Engineering::Computer science and engineering
Issue Date: 2017
Abstract: Computer vision can be used in maritime environment to assist in ship navigation and may lead to reduction in maritime accidents. In this project, improvements were made to an existing ship detection and tracking prototype to solve the issues that the prototype had, such as false positive detections and inability to track occluded objects. Other explorations were done to improve the accuracy of the ship detections. One such exploration is water region segmentation using pixel classification into water and non-water pixels. Classification methods such as linear SVM and random forest were used and feature spaces were built using features such as pixel color features and Gabor pixel texture features.
URI: http://hdl.handle.net/10356/72907
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

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