Firearm Detection using Convolutional Neural Networks

Rodrigo Fumihiro de Azevedo Kanehisa; Areolino de Almeida Neto

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Paper

Firearm Detection using Convolutional Neural Networks

Topics: Deep Learning; Machine Learning

In Proceedings of the 11th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, 707-714, 2019 , Prague, Czech Republic

Authors: Rodrigo Fumihiro de Azevedo Kanehisa and Areolino de Almeida Neto

Affiliation: Federal University of Maranhao (UFMA), São Luís and Brazil

Keyword(s): Firearm Detection, Computer Vision, Darknet YOLO.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Evolutionary Computing ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Machine Learning ; Soft Computing ; Symbolic Systems

Abstract: This papers studies the application of the YOLO algorithm to create a firearm detection system, demonstrating its effectiveness in this task. We also constructed a dataset based on the website Internet Movie Firearm Database (IMFDB) for this study. Individuals carrying firearms in public places are a strong indicator of dangerous situations. Studies show that a rapid response from law enforcement agents is the main factor in reducing the number of victims. However, a large number of cameras to be monitored leads to an overload of CCTV operators, generating fatigue and stress, consequently, loss of efficiency in surveillance. Convolutional neural networks have been shown to be efficient in the detection and identification of objects in images, having sometimes produced more accurate and consistent results than human candidates.

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Paper citation in several formats:

Kanehisa, R. and Neto, A. (2019). Firearm Detection using Convolutional Neural Networks. In Proceedings of the 11th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART; ISBN 978-989-758-350-6; ISSN 2184-433X, SciTePress, pages 707-714. DOI: 10.5220/0007397707070714

@conference{icaart19,
author={Rodrigo Fumihiro de Azevedo Kanehisa. and Areolino de Almeida Neto.},
title={Firearm Detection using Convolutional Neural Networks},
booktitle={Proceedings of the 11th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART},
year={2019},
pages={707-714},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007397707070714},
isbn={978-989-758-350-6},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART
TI - Firearm Detection using Convolutional Neural Networks
SN - 978-989-758-350-6
IS - 2184-433X
AU - Kanehisa, R.
AU - Neto, A.
PY - 2019
SP - 707
EP - 714
DO - 10.5220/0007397707070714
PB - SciTePress