Intelligent Complementary Multi-Modal Fusion for Anomaly Surveillance and Security System

Recently, security monitoring facilities have mainly adopted artificial intelligence (AI) technology to provide both increased security and improved performance. However, there are technical challenges in the pursuit of elevating system performance, automation, and security efficiency. In this paper...

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Veröffentlicht in:	Sensors (Basel, Switzerland) Jg. 23; H. 22; S. 9214
Hauptverfasser:	Jeong, Jae-hyeok, Jung, Hwan-hee, Choi, Yong-hoon, Park, Seong-hee, Kim, Min-suk
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.11.2023
Schlagworte:	3D convolutional autoencoder anomaly classification anomaly detection Artificial intelligence Automation Classification Computational linguistics Data entry Datasets Language processing Learning Monitoring systems multi-modal Natural language interfaces Neural networks Security systems slowfast Surveillance surveillance and security Teaching methods
ISSN:	1424-8220, 1424-8220
Online-Zugang:	Volltext
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