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Hybrid weapon detection algorithm, using material test and fuzzy logic system

  • Published:2019-09 Issue: Volume:78 Page:437-448
  • ISSN:0045-7906
  • Container-title:Computers & Electrical Engineering
  • language:en
  • Short-container-title:Computers & Electrical Engineering

Author:

Ineneji Collins,Kusaf Mehmet

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,General Computer Science,Control and Systems Engineering

Reference16 articles.

1. GPU: application for CCTV systems;Bautista Saiz,2014

2. Outdoor power stations CCTV systems that work synergistically with the security lighting;Bos,2017

3. CCTV based surveillance system for railway station security;Chumuang,2018

4. Tracking human intrusion through a CCTV;Dastidar,2016

5. Automated detection of firearms and knives in a CCTV image;Grega;Sensors (Switzerland),2016

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1. An Enhanced Weapon Detection System using Deep Learning;2024 2nd International Conference on Networking and Communications (ICNWC);2024-04-02

2. Novel fusion strategy for image fusion using rescue hunt optimization-based modified guidance model;International Journal of Image and Data Fusion;2024-03-21

3. Weapon Classification with Xception: An Efficient Deep Learning Approach;2024 International Conference on Integrated Circuits and Communication Systems (ICICACS);2024-02-23

4. Real-Time Firearm Detection System Utilizing Deep Learning and Super-Resolution CNNs;Lecture Notes in Networks and Systems;2024

5. Gun Detection System for Surveillance Cameras Using HOG-Assisted KNN Classifier;Lecture Notes in Electrical Engineering;2023-11-30
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