The work that established and explored the links between visual hierarchy and conceptual
ontology of firearms for the purpose of threat assessment is continued. The previous study …

Forecasting violence has become a critical obstacle in the field of video monitoring to
guarantee public safety. Lately, YOLO (You Only Look Once) has become a popular and …

Identifying partially occluded (hidden) objects is necessary in security or intelligence
systems when visually monitoring an area for weapons and assessing the level of threat …

In the present paper we study the problem of weapon identification and threat assessment
from a single image with a partially occluded weapon. This problem poses very severe …

The present work is a part of a larger project on recognizing and identifying weapons from a
single image and assessing threats in public places. Methods of populating the weapon …

The present work is part of an ongoing larger project. 2, 3, 11, 12 The goal of this project is to
develop a system capable of automatic threat assessment for instances of firearms use in …

Continuing our previous research to visually extract and visually and conceptually match
weapons, this study develops a method to determine whether a set of weapon parts visually …

We empirically test the capacity of an improved system to identify not just images of
individual guns, but partially occluded guns and their parts appearing in a videoframe. This …

This paper presents a new boundary (shape) matching algorithm for 2 D rigid objects
without voids. Our new algorithm presents a new shape representation that uses the …

This study develops a new approach for tracking single object through a video in case of
partial occlusion. The approach uses an active contour (AC) to determine the mass center of …