Firearm Detection in Images of Video Surveillance Cameras with Convolutional Neural Networks

Maverick Poma Rosales; Ciro Rodriguez; Yuri Pomachagua; Carlos Navarro

doi:10.1109/CICN51697.2021.9574690

Firearm Detection in Images of Video Surveillance Cameras with Convolutional Neural Networks

Maverick Poma Rosales, Ciro Rodriguez, Yuri Pomachagua, Carlos Navarro

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

Resumen

The purpose of the research is to develop a study of models of Convolutional Neural Networks using YOLOv3 and YOLOv5s (Only look once) for the detection of firearms trained with images of weapons obtained from the research database (Soft Computing and Intelligent Information Systems A University of Granada Research Group) in order to test the effectiveness of the algorithm and its training in real images of video cameras in an accessible database, to demonstrate that although the images are of low quality, the chances of identifying the firearm are high.

Idioma original	Inglés
Título de la publicación alojada	Proceedings - 2021 IEEE 13th International Conference on Computational Intelligence and Communication Networks, CICN 2021
Editorial	Institute of Electrical and Electronics Engineers Inc.
Páginas	61-65
Número de páginas	5
ISBN (versión digital)	9781728176956
DOI	https://doi.org/10.1109/CICN51697.2021.9574690
Estado	Publicada - 22 set. 2021
Evento	13th IEEE International Conference on Computational Intelligence and Communication Networks, CICN 2021 - Lima, Perú Duración: 22 set. 2021 → 23 set. 2021

Serie de la publicación

Nombre	Proceedings - 2021 IEEE 13th International Conference on Computational Intelligence and Communication Networks, CICN 2021

Conferencia

Conferencia	13th IEEE International Conference on Computational Intelligence and Communication Networks, CICN 2021
País/Territorio	Perú
Ciudad	Lima
Período	22/09/21 → 23/09/21

Nota bibliográfica

Publisher Copyright:
© 2021 IEEE.

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10.1109/CICN51697.2021.9574690

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Rosales, M. P., Rodriguez, C., Pomachagua, Y., & Navarro, C. (2021). Firearm Detection in Images of Video Surveillance Cameras with Convolutional Neural Networks. En Proceedings - 2021 IEEE 13th International Conference on Computational Intelligence and Communication Networks, CICN 2021 (pp. 61-65). (Proceedings - 2021 IEEE 13th International Conference on Computational Intelligence and Communication Networks, CICN 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CICN51697.2021.9574690

Rosales, Maverick Poma ; Rodriguez, Ciro ; Pomachagua, Yuri et al. / Firearm Detection in Images of Video Surveillance Cameras with Convolutional Neural Networks. Proceedings - 2021 IEEE 13th International Conference on Computational Intelligence and Communication Networks, CICN 2021. Institute of Electrical and Electronics Engineers Inc., 2021. pp. 61-65 (Proceedings - 2021 IEEE 13th International Conference on Computational Intelligence and Communication Networks, CICN 2021).

@inproceedings{07d6dc89ac0d474195cbc25124f99ec0,

title = "Firearm Detection in Images of Video Surveillance Cameras with Convolutional Neural Networks",

abstract = "The purpose of the research is to develop a study of models of Convolutional Neural Networks using YOLOv3 and YOLOv5s (Only look once) for the detection of firearms trained with images of weapons obtained from the research database (Soft Computing and Intelligent Information Systems A University of Granada Research Group) in order to test the effectiveness of the algorithm and its training in real images of video cameras in an accessible database, to demonstrate that although the images are of low quality, the chances of identifying the firearm are high.",

keywords = "Computer Vision, Convolutional Neural Networks, Deep Learning, Firearm Detection, Surveillance Cameras, YOLOv3, YOLOv5s",

author = "Rosales, {Maverick Poma} and Ciro Rodriguez and Yuri Pomachagua and Carlos Navarro",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 13th IEEE International Conference on Computational Intelligence and Communication Networks, CICN 2021 ; Conference date: 22-09-2021 Through 23-09-2021",

year = "2021",

month = sep,

day = "22",

doi = "10.1109/CICN51697.2021.9574690",

language = "Ingl{\'e}s",

series = "Proceedings - 2021 IEEE 13th International Conference on Computational Intelligence and Communication Networks, CICN 2021",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "61--65",

booktitle = "Proceedings - 2021 IEEE 13th International Conference on Computational Intelligence and Communication Networks, CICN 2021",

address = "Estados Unidos",

}

Rosales, MP, Rodriguez, C, Pomachagua, Y & Navarro, C 2021, Firearm Detection in Images of Video Surveillance Cameras with Convolutional Neural Networks. En Proceedings - 2021 IEEE 13th International Conference on Computational Intelligence and Communication Networks, CICN 2021. Proceedings - 2021 IEEE 13th International Conference on Computational Intelligence and Communication Networks, CICN 2021, Institute of Electrical and Electronics Engineers Inc., pp. 61-65, 13th IEEE International Conference on Computational Intelligence and Communication Networks, CICN 2021, Lima, Perú, 22/09/21. https://doi.org/10.1109/CICN51697.2021.9574690

Firearm Detection in Images of Video Surveillance Cameras with Convolutional Neural Networks. / Rosales, Maverick Poma; Rodriguez, Ciro; Pomachagua, Yuri et al.
Proceedings - 2021 IEEE 13th International Conference on Computational Intelligence and Communication Networks, CICN 2021. Institute of Electrical and Electronics Engineers Inc., 2021. p. 61-65 (Proceedings - 2021 IEEE 13th International Conference on Computational Intelligence and Communication Networks, CICN 2021).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

TY - GEN

T1 - Firearm Detection in Images of Video Surveillance Cameras with Convolutional Neural Networks

AU - Rosales, Maverick Poma

AU - Rodriguez, Ciro

AU - Pomachagua, Yuri

AU - Navarro, Carlos

PY - 2021/9/22

Y1 - 2021/9/22

N2 - The purpose of the research is to develop a study of models of Convolutional Neural Networks using YOLOv3 and YOLOv5s (Only look once) for the detection of firearms trained with images of weapons obtained from the research database (Soft Computing and Intelligent Information Systems A University of Granada Research Group) in order to test the effectiveness of the algorithm and its training in real images of video cameras in an accessible database, to demonstrate that although the images are of low quality, the chances of identifying the firearm are high.

AB - The purpose of the research is to develop a study of models of Convolutional Neural Networks using YOLOv3 and YOLOv5s (Only look once) for the detection of firearms trained with images of weapons obtained from the research database (Soft Computing and Intelligent Information Systems A University of Granada Research Group) in order to test the effectiveness of the algorithm and its training in real images of video cameras in an accessible database, to demonstrate that although the images are of low quality, the chances of identifying the firearm are high.

KW - Computer Vision

KW - Convolutional Neural Networks

KW - Deep Learning

KW - Firearm Detection

KW - Surveillance Cameras

KW - YOLOv3

KW - YOLOv5s

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U2 - 10.1109/CICN51697.2021.9574690

DO - 10.1109/CICN51697.2021.9574690

M3 - Contribución a la conferencia

AN - SCOPUS:85119257644

T3 - Proceedings - 2021 IEEE 13th International Conference on Computational Intelligence and Communication Networks, CICN 2021

SP - 61

EP - 65

BT - Proceedings - 2021 IEEE 13th International Conference on Computational Intelligence and Communication Networks, CICN 2021

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 13th IEEE International Conference on Computational Intelligence and Communication Networks, CICN 2021

Y2 - 22 September 2021 through 23 September 2021

ER -

Rosales MP, Rodriguez C, Pomachagua Y, Navarro C. Firearm Detection in Images of Video Surveillance Cameras with Convolutional Neural Networks. En Proceedings - 2021 IEEE 13th International Conference on Computational Intelligence and Communication Networks, CICN 2021. Institute of Electrical and Electronics Engineers Inc. 2021. p. 61-65. (Proceedings - 2021 IEEE 13th International Conference on Computational Intelligence and Communication Networks, CICN 2021). doi: 10.1109/CICN51697.2021.9574690

Firearm Detection in Images of Video Surveillance Cameras with Convolutional Neural Networks

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