Preventing Crime and Terrorist Activities with a New Anomaly Detection Approach Based on Outfit

Gizem Ortaç Koşun; Seçkin Yılmaz; Yusuf Kayıpmaz; Rüya Şamlı

doi:10.38088/jise.1348213

EN

Preventing Crime and Terrorist Activities with a New Anomaly Detection Approach Based on Outfit

Abstract

Video surveillance systems play an important role in ensuring security indoors and outdoors and detecting suspicious persons due to the increasing violence and terrorist acts every year. In the proposed study, an artificial intelligence-based warning system has been developed, which enables the detection of potential suspects who may carry out criminal or terrorist activities by detecting anomalies in surveillance videos. In this developed system, an abnormality is detected by using the outfits of the people. The YOLOv7 object detection model is trained on our customized data sets, and suspicious person detection is made through outfit information. Especially in cases where biometric data is hidden, dress information makes it easier to obtain information about people. For this reason, the knowledge of outfits is the main point of this study in the detection of suspicious persons. Thanks to this study, security guards will be able to focus on this suspicious person before they pre-empt any crime or terrorist activity. If there are other data confirming the suspicious situation as a result of this follow-up; security personnel will have time to eliminate the crime or attack. The experimental results obtained have been promising in terms of the usability of a person's outfit anomalies to ensure public confidence or avoid risk to human life. Although there are various studies in the literature for the prevention of terrorist or criminal activities; there is no study in which people's outfit is used to identify suspects.

Keywords

References

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Details

Primary Language

English

Subjects

Artificial Intelligence (Other)

Journal Section

Research Article

Authors

Gizem Ortaç Koşun ^*
0000-0003-1228-9852
Türkiye

Seçkin Yılmaz
0000-0001-6791-1536
Türkiye

Yusuf Kayıpmaz
0000-0002-4588-8715
Türkiye

Rüya Şamlı
0000-0002-8723-1228
Türkiye

Early Pub Date

December 6, 2023

Publication Date

December 20, 2023

Submission Date

August 22, 2023

Acceptance Date

October 8, 2023

Published in Issue

Year 2023 Volume: 7 Number: 2

DOI

https://doi.org/10.38088/jise.1348213

IZ

https://izlik.org/JA97AR62HB

Cite

RIS / Bibtex

APA

Ortaç Koşun, G., Yılmaz, S., Kayıpmaz, Y., & Şamlı, R. (2023). Preventing Crime and Terrorist Activities with a New Anomaly Detection Approach Based on Outfit. Journal of Innovative Science and Engineering, 7(2), 167-182. https://doi.org/10.38088/jise.1348213

AMA

1.Ortaç Koşun G, Yılmaz S, Kayıpmaz Y, Şamlı R. Preventing Crime and Terrorist Activities with a New Anomaly Detection Approach Based on Outfit. JISE. 2023;7(2):167-182. doi:10.38088/jise.1348213

Chicago

Ortaç Koşun, Gizem, Seçkin Yılmaz, Yusuf Kayıpmaz, and Rüya Şamlı. 2023. “Preventing Crime and Terrorist Activities With a New Anomaly Detection Approach Based on Outfit”. Journal of Innovative Science and Engineering 7 (2): 167-82. https://doi.org/10.38088/jise.1348213.

EndNote

Ortaç Koşun G, Yılmaz S, Kayıpmaz Y, Şamlı R (December 1, 2023) Preventing Crime and Terrorist Activities with a New Anomaly Detection Approach Based on Outfit. Journal of Innovative Science and Engineering 7 2 167–182.

IEEE

[1]G. Ortaç Koşun, S. Yılmaz, Y. Kayıpmaz, and R. Şamlı, “Preventing Crime and Terrorist Activities with a New Anomaly Detection Approach Based on Outfit”, JISE, vol. 7, no. 2, pp. 167–182, Dec. 2023, doi: 10.38088/jise.1348213.

ISNAD

Ortaç Koşun, Gizem - Yılmaz, Seçkin - Kayıpmaz, Yusuf - Şamlı, Rüya. “Preventing Crime and Terrorist Activities With a New Anomaly Detection Approach Based on Outfit”. Journal of Innovative Science and Engineering 7/2 (December 1, 2023): 167-182. https://doi.org/10.38088/jise.1348213.

JAMA

1.Ortaç Koşun G, Yılmaz S, Kayıpmaz Y, Şamlı R. Preventing Crime and Terrorist Activities with a New Anomaly Detection Approach Based on Outfit. JISE. 2023;7:167–182.

MLA

Ortaç Koşun, Gizem, et al. “Preventing Crime and Terrorist Activities With a New Anomaly Detection Approach Based on Outfit”. Journal of Innovative Science and Engineering, vol. 7, no. 2, Dec. 2023, pp. 167-82, doi:10.38088/jise.1348213.

Vancouver

1.Gizem Ortaç Koşun, Seçkin Yılmaz, Yusuf Kayıpmaz, Rüya Şamlı. Preventing Crime and Terrorist Activities with a New Anomaly Detection Approach Based on Outfit. JISE. 2023 Dec. 1;7(2):167-82. doi:10.38088/jise.1348213

Preventing Crime and Terrorist Activities with a New Anomaly Detection Approach Based on Outfit

Abstract

Keywords

Öz

References

Details

Primary Language

Subjects

Journal Section

Authors

Early Pub Date

Publication Date

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Published in Issue

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