A Real-Time Framework for Human Face Detection and Recognition in CCTV Images

This paper aims to develop a machine learning and deep learning-based real-time framework for detecting and recognizing human faces in closed-circuit television (CCTV) images. The traditional CCTV system needs a human for 24/7 monitoring, which is costly and insufficient. The automatic recognition s...

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Veröffentlicht in:	Mathematical problems in engineering 2022-03, Vol.2022, p.1-12
Hauptverfasser:	Ullah, Rehmat, Hayat, Hassan, Siddiqui, Afsah Abid, Siddiqui, Uzma Abid, Khan, Jebran, Ullah, Farman, Hassan, Shoaib, Hasan, Laiq, Albattah, Waleed, Islam, Muhammad, Karami, Ghulam Mohammad
Format:	Artikel
Sprache:	eng
Schlagworte:	Access control Algorithms Artificial intelligence Artificial neural networks Biometrics Closed circuit television Computing time Decision trees Deep learning Engineering Face recognition Facial recognition technology Feature extraction Image acquisition Light levels Luminous intensity Machine learning Mean square errors Object recognition Performance evaluation Principal components analysis Real time Rotation Security systems Surveillance
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