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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| Format: | Undergraduates Project Papers |
| Language: | English |
| Published: |
2018
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| Online Access: | 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 |
| _version_ | 1848822728239349760 |
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| author | Nur Najwa, Ibrahim |
| author_facet | Nur Najwa, Ibrahim |
| author_sort | Nur Najwa, Ibrahim |
| building | UMP Institutional Repository |
| collection | Online Access |
| 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%. |
| first_indexed | 2025-11-15T02:45:51Z |
| format | Undergraduates Project Papers |
| id | ump-27180 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T02:45:51Z |
| publishDate | 2018 |
| recordtype | eprints |
| repository_type | Digital Repository |
| 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 |
| spellingShingle | QA75 Electronic computers. Computer science QA76 Computer software Nur Najwa, Ibrahim Investigating the effectiveness of point features matching for detecting gun items |
| title | 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_short | Investigating the effectiveness of point features matching for detecting gun items |
| title_sort | investigating the effectiveness of point features matching for detecting gun items |
| topic | QA75 Electronic computers. Computer science QA76 Computer software |
| 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 |