Investigating the effectiveness of point features matching for detecting gun items

Investigating the effectiveness of point features matching for detecting gun items

Every entry point has national high-security to ensure no firearms brought illegally. This is a crime if carry firearms without consent from authorities. However, even though many ways have been implemented to detect gun items from entering the county, such as Point Features Matching (PFM) the gun s...

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Bibliographic Details
Main Author: Nur Najwa, Ibrahim
Format: Undergraduates Project Papers
Language:English
Published: 2018
Subjects:
QA75 Electronic computers. Computer science
QA76 Computer software
Online Access:http://umpir.ump.edu.my/id/eprint/27180/
http://umpir.ump.edu.my/id/eprint/27180/
http://umpir.ump.edu.my/id/eprint/27180/1/Investigating%20the%20effectiveness%20of%20point%20features%20matching%20for%20detecting%20gun.pdf
id ump-27180
recordtype eprints
spelling ump-271802020-01-03T02:02:03Z http://umpir.ump.edu.my/id/eprint/27180/ Investigating the effectiveness of point features matching for detecting gun items Nur Najwa, Ibrahim QA75 Electronic computers. Computer science QA76 Computer software Every entry point has national high-security to ensure no firearms brought illegally. This is a crime if carry firearms without consent from authorities. However, even though many ways have been implemented to detect gun items from entering the county, such as Point Features Matching (PFM) the gun still manage to pass through safety security checks. The objective of this study is to detect gun items using Point Features Matching (PFM) and to investigate the effectiveness of Point Features Matching (PFM) with respect to the size and position of scene images. Point Features Matching (PFM) is to identify or detect a particular object in cluttered scene and given a reference image of the object. Particularly in this study, gun are the items that will be detected using Point Features Matching (PFM). Based on the experiments conducted, the PFM is effectively detect the gun items regardless the different position and various size when the percentage similarity of matching points more than or equal 50%. 2018-12 Undergraduates Project Papers NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/27180/1/Investigating%20the%20effectiveness%20of%20point%20features%20matching%20for%20detecting%20gun.pdf Nur Najwa, Ibrahim (2018) Investigating the effectiveness of point features matching for detecting gun items. Faculty of Computer System & Software Engineering, Universiti Malaysia Pahang. http://fypro.ump.edu.my/ethesis/index.php
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic QA75 Electronic computers. Computer science
QA76 Computer software
spellingShingle QA75 Electronic computers. Computer science
QA76 Computer software
Nur Najwa, Ibrahim
Investigating the effectiveness of point features matching for detecting gun items
description Every entry point has national high-security to ensure no firearms brought illegally. This is a crime if carry firearms without consent from authorities. However, even though many ways have been implemented to detect gun items from entering the county, such as Point Features Matching (PFM) the gun still manage to pass through safety security checks. The objective of this study is to detect gun items using Point Features Matching (PFM) and to investigate the effectiveness of Point Features Matching (PFM) with respect to the size and position of scene images. Point Features Matching (PFM) is to identify or detect a particular object in cluttered scene and given a reference image of the object. Particularly in this study, gun are the items that will be detected using Point Features Matching (PFM). Based on the experiments conducted, the PFM is effectively detect the gun items regardless the different position and various size when the percentage similarity of matching points more than or equal 50%.
format Undergraduates Project Papers
author Nur Najwa, Ibrahim
author_facet Nur Najwa, Ibrahim
author_sort Nur Najwa, Ibrahim
title Investigating the effectiveness of point features matching for detecting gun items
title_short Investigating the effectiveness of point features matching for detecting gun items
title_full Investigating the effectiveness of point features matching for detecting gun items
title_fullStr Investigating the effectiveness of point features matching for detecting gun items
title_full_unstemmed Investigating the effectiveness of point features matching for detecting gun items
title_sort investigating the effectiveness of point features matching for detecting gun items
publishDate 2018
url http://umpir.ump.edu.my/id/eprint/27180/
http://umpir.ump.edu.my/id/eprint/27180/
http://umpir.ump.edu.my/id/eprint/27180/1/Investigating%20the%20effectiveness%20of%20point%20features%20matching%20for%20detecting%20gun.pdf
first_indexed 2023-09-18T22:42:38Z
last_indexed 2023-09-18T22:42:38Z
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