Open-Set Face Recognition in Video Surveillance: A Survey

Al-Obaydy, Wasseem N. Ibrahem; Suandi, Shahrel Azmin

doi:10.1007/978-981-15-2317-5_36

Cited by 3 publications

(1 citation statement)

References 45 publications

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“…A model based on open-set VFR is preferred for such a security system as a railway station. For example, the open-set VFR can be implemented to identify people on a certain watchlist [90]. The VFR methods are categorised into two main streams, conventional and deep learning methods.…”

Section: Video Face Recognitionmentioning

confidence: 99%

Recent Advances in Video Analytics for Rail Network Surveillance for Security, Trespass and Suicide Prevention—A Survey

Zhang

Aftab

Mihaylova

et al. 2022

Sensors

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Railway networks systems are by design open and accessible to people, but this presents challenges in the prevention of events such as terrorism, trespass, and suicide fatalities. With the rapid advancement of machine learning, numerous computer vision methods have been developed in closed-circuit television (CCTV) surveillance systems for the purposes of managing public spaces. These methods are built based on multiple types of sensors and are designed to automatically detect static objects and unexpected events, monitor people, and prevent potential dangers. This survey focuses on recently developed CCTV surveillance methods for rail networks, discusses the challenges they face, their advantages and disadvantages and a vision for future railway surveillance systems. State-of-the-art methods for object detection and behaviour recognition applied to rail network surveillance systems are introduced, and the ethics of handling personal data and the use of automated systems are also considered.

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Section: Video Face Recognitionmentioning

confidence: 99%