Surveillance System for Real-Time High-Precision Recognition of Criminal Faces From Wild Videos

Author:

Kim Hyun-Bin1,Choi Nakhoon1,Kwon Hye-Jeong1ORCID,Kim Heeyoul2ORCID

Affiliation:

1. Department of Computer Science, Kyonggi University, Suwon, South Korea

2. Division of Computer Science and Engineering, Kyonggi University, Suwon, South Korea

Funder

Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Real Time Facial Recognition-Based Criminal Identification Using MTCNN;2024 2nd International Conference on Sustainable Computing and Smart Systems (ICSCSS);2024-07-10

2. Empowering Law Enforcement and Emergency: An In-Depth Exploration of Criminal Face Detection Technology Integrated with Emergency SOS Sending Protocols;2024 4th International Conference on Data Engineering and Communication Systems (ICDECS);2024-03-22

3. Towards Enhanced Security and Suspect Identification: Optimizing Face Views for Real-Time Facial Recognition in a Semi-unconstrained Multi-camera Environment;Lecture Notes in Networks and Systems;2024

4. A Face Recognition-Based Smart Student Attendance and Activeness Monitoring System;2023 4th International Conference on Computation, Automation and Knowledge Management (ICCAKM);2023-12-12

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