Drone detection by neural network using SURF feature and GLCM method

This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.

Bibliografiske detaljer
Main Authors:	Ahmed, Tanzia, Roy, Bir Ballav, Rahman, Tanvir
Andre forfattere:	Uddin, Jia
Format:	Thesis
Sprog:	English
Udgivet:	BRAC University 2018
Fag:	Drone detection Neural network SURF GLCM method
Online adgang:	http://hdl.handle.net/10361/10152

id	10361-10152
record_format	dspace
spelling	10361-101522022-01-26T10:04:47Z Drone detection by neural network using SURF feature and GLCM method Ahmed, Tanzia Roy, Bir Ballav Rahman, Tanvir Uddin, Jia Department of Computer Science and Engineering, BRAC University Drone detection Neural network SURF GLCM method This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018. Cataloged from PDF version of thesis. Includes bibliographical references (pages 28-29). This presents a drone detection method using image processing. In the proposed model, a hybrid feature extraction method using SURF and GLCM is utilized. As a machine learning tool, we use a neural network for pattern recognition to train and test. Finally, we measure the performance of the proposed model using cross entropy. For our tested drone dataset, experimental results demonstrate improved performance over state-of-art models by exhibiting less cross entropy and percentage error. It also presents experimented results of drone detection using different combination of methods and the results why it is recommended to use our approach. The combinations we used are SURF, GLCM, SURF with GLCM, and MSER. Here we focused on an optimal combination of performance and error percentage results. The recommended approach is to detect drones with very minimum error percentage and very high performance. Tanzia Ahmed Bir Ballav Roy Tanvir Rahman B. Computer Science and Engineering 2018-05-15T06:24:50Z 2018-05-15T06:24:50Z 2018 2018-04 Thesis ID 14101136 ID 14301005 ID 14301072 http://hdl.handle.net/10361/10152 en BRAC University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 29 pages application/pdf BRAC University
institution	Brac University
collection	Institutional Repository
language	English
topic	Drone detection Neural network SURF GLCM method
spellingShingle	Drone detection Neural network SURF GLCM method Ahmed, Tanzia Roy, Bir Ballav Rahman, Tanvir Drone detection by neural network using SURF feature and GLCM method
description	This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.
author2	Uddin, Jia
author_facet	Uddin, Jia Ahmed, Tanzia Roy, Bir Ballav Rahman, Tanvir
format	Thesis
author	Ahmed, Tanzia Roy, Bir Ballav Rahman, Tanvir
author_sort	Ahmed, Tanzia
title	Drone detection by neural network using SURF feature and GLCM method
title_short	Drone detection by neural network using SURF feature and GLCM method
title_full	Drone detection by neural network using SURF feature and GLCM method
title_fullStr	Drone detection by neural network using SURF feature and GLCM method
title_full_unstemmed	Drone detection by neural network using SURF feature and GLCM method
title_sort	drone detection by neural network using surf feature and glcm method
publisher	BRAC University
publishDate	2018
url	http://hdl.handle.net/10361/10152
work_keys_str_mv	AT ahmedtanzia dronedetectionbyneuralnetworkusingsurffeatureandglcmmethod AT roybirballav dronedetectionbyneuralnetworkusingsurffeatureandglcmmethod AT rahmantanvir dronedetectionbyneuralnetworkusingsurffeatureandglcmmethod
_version_	1814306823190085632

Drone detection by neural network using SURF feature and GLCM method

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