Gun detection system using Yolov3
Based on current situation around the world, there is major need of automated visual surveillance for security to detect handgun. The objective of this paper is to visually detect the handgun in real time videos. The proposed method is using YOLO-V3 algorithm and comparing the number of false positi...
| Main Authors: | , , , , , |
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| Format: | Proceeding Paper |
| Language: | English English |
| Published: |
IEEE
2019
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/80449/ http://irep.iium.edu.my/80449/1/80449%20Gun%20Detection%20System%20Using%20Yolov3.pdf http://irep.iium.edu.my/80449/2/80449%20Gun%20Detection%20System%20Using%20Yolov3%20SCOPUS.pdf |
| _version_ | 1848788960336150528 |
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| author | Warsi, Arif Abdullah, Munaisyah Husen, Mohd Nizam Yahya, Muhammad Khan, Sheroz Jawaid, Nasreen |
| author_facet | Warsi, Arif Abdullah, Munaisyah Husen, Mohd Nizam Yahya, Muhammad Khan, Sheroz Jawaid, Nasreen |
| author_sort | Warsi, Arif |
| building | IIUM Repository |
| collection | Online Access |
| description | Based on current situation around the world, there is major need of automated visual surveillance for security to detect handgun. The objective of this paper is to visually detect the handgun in real time videos. The proposed method is using YOLO-V3 algorithm and comparing the number of false positive and false negative with Faster RCNN algorithm. To improve the result, we have created our own dataset of handguns with all possible angles and merged it with ImageNet dataset. The merged data was trained using YOLO-V3 algorithm. We have used four different videos to validate the results of YOLO-V3 compared to Faster RCNN. The detector performed very well to detect handgun in different scenes with different rotations, scales and shapes. The results showed that YOLO-V3 can be used as an alternative of Faster RCNN. It provides much faster speed, nearly identical accuracy and can be used in a real time environment. |
| first_indexed | 2025-11-14T17:49:07Z |
| format | Proceeding Paper |
| id | iium-80449 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T17:49:07Z |
| publishDate | 2019 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-804492020-07-10T06:42:11Z http://irep.iium.edu.my/80449/ Gun detection system using Yolov3 Warsi, Arif Abdullah, Munaisyah Husen, Mohd Nizam Yahya, Muhammad Khan, Sheroz Jawaid, Nasreen T Technology (General) Based on current situation around the world, there is major need of automated visual surveillance for security to detect handgun. The objective of this paper is to visually detect the handgun in real time videos. The proposed method is using YOLO-V3 algorithm and comparing the number of false positive and false negative with Faster RCNN algorithm. To improve the result, we have created our own dataset of handguns with all possible angles and merged it with ImageNet dataset. The merged data was trained using YOLO-V3 algorithm. We have used four different videos to validate the results of YOLO-V3 compared to Faster RCNN. The detector performed very well to detect handgun in different scenes with different rotations, scales and shapes. The results showed that YOLO-V3 can be used as an alternative of Faster RCNN. It provides much faster speed, nearly identical accuracy and can be used in a real time environment. IEEE 2019 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/80449/1/80449%20Gun%20Detection%20System%20Using%20Yolov3.pdf application/pdf en http://irep.iium.edu.my/80449/2/80449%20Gun%20Detection%20System%20Using%20Yolov3%20SCOPUS.pdf Warsi, Arif and Abdullah, Munaisyah and Husen, Mohd Nizam and Yahya, Muhammad and Khan, Sheroz and Jawaid, Nasreen (2019) Gun detection system using Yolov3. In: 2019 IEEE 6th International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA 2019), 27 - 29 Aug 2019, Kuala Lumpur, Malaysia. https://ieeexplore.ieee.org/document/9057329 10.1109/ICSIMA47653.2019.9057329 |
| spellingShingle | T Technology (General) Warsi, Arif Abdullah, Munaisyah Husen, Mohd Nizam Yahya, Muhammad Khan, Sheroz Jawaid, Nasreen Gun detection system using Yolov3 |
| title | Gun detection system using Yolov3 |
| title_full | Gun detection system using Yolov3 |
| title_fullStr | Gun detection system using Yolov3 |
| title_full_unstemmed | Gun detection system using Yolov3 |
| title_short | Gun detection system using Yolov3 |
| title_sort | gun detection system using yolov3 |
| topic | T Technology (General) |
| url | http://irep.iium.edu.my/80449/ http://irep.iium.edu.my/80449/ http://irep.iium.edu.my/80449/ http://irep.iium.edu.my/80449/1/80449%20Gun%20Detection%20System%20Using%20Yolov3.pdf http://irep.iium.edu.my/80449/2/80449%20Gun%20Detection%20System%20Using%20Yolov3%20SCOPUS.pdf |