SPoTem: Handgun Detection in Videos using Spatial, Pose, and Temporal Features-Reference-Cited by-同舟云学术

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SPoTem: Handgun Detection in Videos using Spatial, Pose, and Temporal Features

Published:2024-03-16 Issue: Volume: Page:111-117
ISSN:
Container-title:2024 the 8th International Conference on Innovation in Artificial Intelligence
language:
Short-container-title:

Author:

Flores Juan Miguel¹^ORCID,Liban Liam¹^ORCID,Ribaya Robert Lawrence¹^ORCID,Paguio Idan Andrei¹^ORCID,Suarez Jessie James¹^ORCID

Affiliation:

1. Department of Computer Science, University of Santo Tomas, Philippines

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3655497.3655511

Reference17 articles.

1. Comparitech. 2022. Surveillance Camera Statistics: Which city has the most CCTV cameras? [Online]. Available: https://www.comparitech.com/vpn-privacy/the-worlds-most-surveilled-cities/ [Accessed: July 21, 2022].

2. Insider I. 2023. Role of CCTV cameras: Public privacy and protection. IFSEC Insider | Security and Fire News and Resources [Online]. Available: https://www.ifsecglobal.com/video-surveillance/role-cctv-cameras-public-privacy-protection/ [Accessed: February 9 2023].

3. Amnesty International. 2022. We need to prioritise people over guns [Online]. Available: https://www.amnesty.org/en/what-we-do/arms-control/gun-violence/ [Accessed: November 23, 2022].

4. Warsi A. Abdullah M. Husen M. N. Yahya M. Khan S. & Jawaid N. 2019. "Gun detection system using yolov3." In 2019 IEEE International Conference on Smart Instrumentation Measurement and Application (ICSIMA) https://doi.org/10.1109/icsima47653.2019.9057329.

5. Automatic handgun detection alarm in videos using deep learning

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