Deep Neural Networks Based on Transfer Learning Approaches to Classification of Gun and Knife Images

Mehmet Tevfik Ağdaş; Muammer Türkoğlu; Sevinç Gülseçen

doi:10.35377/saucis.04.01.891308

EN

Deep Neural Networks Based on Transfer Learning Approaches to Classification of Gun and Knife Images

Abstract

Most of the criminal acts are performed using criminal tools. One of the most effective ways of preventing crime is to observe and detect offensive weapons by security camera systems. Deep learning techniques can show very high-performance in observing and perceiving objects. In the current study, the performances of the pre-trained AlexNet, VGG16, and VGG19 models based on convolutional neural networks, were tested for the detection and classification of criminal tools such as guns and knives. In the study, the training process was carried out using transfer learning approaches such as Fine-tuning and Training from scratch based on deep architectures. To test the deep architectures used in the proposed study, the gun and knife datasets frequently used in the literature were collected and combined with new datasets obtained originally from search engines and videos, and then their performances were tested. In the experimental results, the VGG16 model based on fine-tuning for the two and three classes achieved the highest accuracy in detecting criminal devices with a rate of 99.73% and 99.67%, respectively. As a result, the study has observed that offensive weapons could be detected with security cameras using learned weights of deep architectures

Keywords

References

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Details

Primary Language

English

Subjects

Artificial Intelligence

Journal Section

Research Article

Authors

Mehmet Tevfik Ağdaş
0000-0002-5608-6240
Türkiye

Muammer Türkoğlu ^*
0000-0002-2377-4979
Türkiye

Sevinç Gülseçen
0000-0001-8537-7111
Türkiye

Publication Date

April 30, 2021

Submission Date

March 4, 2021

Acceptance Date

March 16, 2021

Published in Issue

Year 1970 Volume: 4 Number: 1

DOI

https://doi.org/10.35377/saucis.04.01.891308

IZ

https://izlik.org/JA25DZ69WS

Cite

RIS / Bibtex

APA

Ağdaş, M. T., Türkoğlu, M., & Gülseçen, S. (2021). Deep Neural Networks Based on Transfer Learning Approaches to Classification of Gun and Knife Images. Sakarya University Journal of Computer and Information Sciences, 4(1), 131-141. https://doi.org/10.35377/saucis.04.01.891308

AMA

1.Ağdaş MT, Türkoğlu M, Gülseçen S. Deep Neural Networks Based on Transfer Learning Approaches to Classification of Gun and Knife Images. SAUCIS. 2021;4(1):131-141. doi:10.35377/saucis.04.01.891308

Chicago

Ağdaş, Mehmet Tevfik, Muammer Türkoğlu, and Sevinç Gülseçen. 2021. “Deep Neural Networks Based on Transfer Learning Approaches to Classification of Gun and Knife Images”. Sakarya University Journal of Computer and Information Sciences 4 (1): 131-41. https://doi.org/10.35377/saucis.04.01.891308.

EndNote

Ağdaş MT, Türkoğlu M, Gülseçen S (April 1, 2021) Deep Neural Networks Based on Transfer Learning Approaches to Classification of Gun and Knife Images. Sakarya University Journal of Computer and Information Sciences 4 1 131–141.

IEEE

[1]M. T. Ağdaş, M. Türkoğlu, and S. Gülseçen, “Deep Neural Networks Based on Transfer Learning Approaches to Classification of Gun and Knife Images”, SAUCIS, vol. 4, no. 1, pp. 131–141, Apr. 2021, doi: 10.35377/saucis.04.01.891308.

ISNAD

Ağdaş, Mehmet Tevfik - Türkoğlu, Muammer - Gülseçen, Sevinç. “Deep Neural Networks Based on Transfer Learning Approaches to Classification of Gun and Knife Images”. Sakarya University Journal of Computer and Information Sciences 4/1 (April 1, 2021): 131-141. https://doi.org/10.35377/saucis.04.01.891308.

JAMA

1.Ağdaş MT, Türkoğlu M, Gülseçen S. Deep Neural Networks Based on Transfer Learning Approaches to Classification of Gun and Knife Images. SAUCIS. 2021;4:131–141.

MLA

Ağdaş, Mehmet Tevfik, et al. “Deep Neural Networks Based on Transfer Learning Approaches to Classification of Gun and Knife Images”. Sakarya University Journal of Computer and Information Sciences, vol. 4, no. 1, Apr. 2021, pp. 131-4, doi:10.35377/saucis.04.01.891308.

Vancouver

1.Mehmet Tevfik Ağdaş, Muammer Türkoğlu, Sevinç Gülseçen. Deep Neural Networks Based on Transfer Learning Approaches to Classification of Gun and Knife Images. SAUCIS. 2021 Apr. 1;4(1):131-4. doi:10.35377/saucis.04.01.891308