Ship detection in videos

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...

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書目詳細資料
主要作者: Muhammad Mukhtar
其他作者: Deepu Rajan
格式: Final Year Project
語言:English
出版: 2017
主題:
在線閱讀:http://hdl.handle.net/10356/72907
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機構: Nanyang Technological University
語言: English
實物特徵
總結: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.