학술논문

Automatic Handgun and Knife Detection Algorithms: A Review
Document Type
Conference
Source
2020 14th International Conference on Ubiquitous Information Management and Communication (IMCOM) Ubiquitous Information Management and Communication (IMCOM), 2020 14th International Conference on. :1-9 Jan, 2020
Subject
Communication, Networking and Broadcast Technologies
Robotics and Control Systems
Detectors
Shape
Classification algorithms
Active appearance model
Image segmentation
Machine learning
Image edge detection
object detection
image segmentation
deep learning
neural network component
Language
Abstract
Nowadays, the surveillance of criminal activities requires constant human monitoring. Most of these activities are happening due to handheld weapons mainly pistol and gun. Object detection algorithms have been used in detecting weapons like knives and handguns. Handgun and knives detection are one of the most challenging tasks due to occlusion, variation in viewpoint and background cluttering that occurs frequently in a scene. This paper reviewed and categorized various algorithms that have been used in the detection of handgun and knives with their strengths and weaknesses.