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...
Saved in:
Main Authors: | Warsi, Arif, Abdullah, Munaisyah, Husen, Mohd Nizam, Yahya, Muhammad, Khan, Sheroz, Jawaid, Nasreen |
---|---|
Format: | Conference or Workshop Item |
Language: | English English |
Published: |
IEEE
2019
|
Subjects: | |
Online Access: | 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 http://irep.iium.edu.my/80449/ https://ieeexplore.ieee.org/document/9057329 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
COMPARISON OF CHILD DETECTION SYSTEM WITH ARTIFICIAL INTELLIGENCE USING MOBILENET, YOLOV2 AND YOLOV3 FOR OBJECT DETECTION
by: DON PEREZ, LIAP
Published: (2019) -
Oceanographic Object Detection with YOLOv3
by: Sekaran, Sugethan
Published: (2019) -
Assessing the performance of YOLOv5, YOLOv6, and YOLOv7 in road defect detection and classification: a comparative study
by: Mohd Yusof, Najiha 'Izzaty, et al.
Published: (2024) -
Sperm-cell detection using YOLOv5 architecture
by: Dobrovolny, Michal, et al.
Published: (2022) -
Sperm-cell detection using YOLOv5 architecture
by: Dobrovolny, Michal, et al.
Published: (2022)