Real-time gun detection in CCTV: An open problem

2 code implementations • 1 Dec 2020 • JoseL. Salazar González, Carlos Zaccaro, Juan A. Álvarez-García, Luis M. Soria-Morillo Fernando Sancho Caparrini

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 card) improving the state of the art on weapon detection in a two stages training.

object-detection Small Object Detection

Handgun detection using combined human pose and weapon appearance

no code implementations • 26 Oct 2020 • Jesus Ruiz-Santaquiteria, Alberto Velasco-Mata, Noelia Vallez, Gloria Bueno, Juan A. Álvarez-García, Oscar Deniz

Closed-circuit television (CCTV) systems are essential nowadays to prevent security threats or dangerous situations, in which early detection is crucial.

Deep neural network for traffic sign recognition systems: An analysis of spatial transformers and stochastic optimisation methods

1 code implementation • Neural Networks 2018 • Álvaro Arcos-García, Juan A. Álvarez-García, Luis M. Soria-Morillo

This paper presents a Deep Learning approach for traffic sign recognition systems.

General Classification Traffic Sign Recognition