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-world CCTV images. Our contribution is three-fold.

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.

CCTV-Gun, a meticulously crafted and annotated bench-mark for real-world handgun detection from CCTV images. Our work tackles handgun detection comprehensively in three aspects: benchmark construction, evaluation protocol, and thorough experiments. For benchmark construction, we first investigate relevant

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 Network with ResNet-50 resulting in a weapon detection model able to be used in quasi real-time CCTV (90 ms of inference time with an NVIDIA GeForce GTX-1080Ti ...

2019年12月5日 · Weapon Detection & Classification through CCTV surveillance using Deep Learning-CNNs. Iterate.ai has open-sourced a powerful Weapons Detection AI software. The AI was trained on about 100 live guns, plus 20,000 videos of robberies and threats involving weapons. Our engineers taught the AI to detect guns, knives, kevlar vests, and robbery masks.

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-world CCTV images. Our contribution is three-fold.

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 images and comprehensively evaluates both classical and state-of-the-art object detection algorithms, providing an in-depth analysis of their generalizing abilities.

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，这是枪支犯罪中最常用的类型。

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-world CCTV images.

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 autonomous weapons based on YOLO v4. For the characteristics of CCTV scenarios, we propose the YOLO v4 backbone with Spatial Cross Stage Partial-ResNet (SCSP-ResNet).