Automatic Handgun and Knife Detection Algorithms: A Review
Arif Warsi, Munaisyah Abdullah, Mohd Nizam Husen, Muhammad Yahya
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.
Topics & Concepts
Computer scienceObject detectionStrengths and weaknessesComputer securityArtificial intelligenceComputer visionPattern recognition (psychology)PsychologySocial psychologyAnomaly Detection Techniques and ApplicationsGait Recognition and AnalysisTraumatic Ocular and Foreign Body Injuries