Maciej Płoński

Weapons detection in video surveillance systems using deep neural networks

The purpose of this paper is to conduct an empirical assessment of the usefulness of selected deep neural network architectures in detection of weapons in CCTV images. The analysis compa- red single-stage YOLOv5 detectors and two-stage Faster R-CNN detectors, each trained under identical conditions on a limited dataset...