2023年3月19日 · In this paper, we present a meticulously crafted and annotated benchmark, called \textbf {CCTV-Gun}, which addresses the challenges of detecting handguns in real …

This repo contains training and evaluation code of CCTV-GUN benchmark. It uses mmdetection to train object detection models. Our arXiv submission can be found here.

2021年5月3日 · We present a gun detection system using a smart IP camera as an embedded edge device, and a cloud server as a manager for device, data, alert, and to further reduce the …

To address these challenges, we presented CCTV-Gun, a meticulously crafted and annotated benchmark for real-world handgun detection from CCTV images. Through detailed bounding …

This article presents a new dataset obtained from a real CCTV installed in a university and the generation of synthetic images, to which Faster R-CNN was applied using Feature Pyramid …

Weapon Detection & Classification through CCTV surveillance using Deep Learning-CNNs. This dataset contains 10,014 images that classifies 3 categories of weapons. The weapon …

2023年3月19日 · This paper presents a meticulously crafted and annotated benchmark, called CCTV-Gun, which addresses the challenges of detecting handguns in real-world CCTV …

CCTV-Gun是由石溪大学精心构建和标注的基准数据集，专注于从闭路电视（CCTV）图像中检测手枪。 该数据集包含7767张来自不同CCTV摄像头和场景的图像，主要关注手枪，这是枪支 …

2023年1月1日 · Individuals are protected from violence by recognizing and locating the guns on closed-circuit television (CCTV). This paper presents a real-time detection approach for CCTV …

2020年12月1日 · This article presents a new dataset obtained from a real CCTV installed in a university and the generation of synthetic images, to which Faster R-CNN was applied using …