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Vivian W. H. Wong and Kincho H. Law
Crowd congestion is one of the main causes of modern public safety issues such as stampedes. Conventional crowd congestion monitoring using closed-circuit television (CCTV) video surveillance relies on manual observation, which is tedious and often error...
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Miao Feng and Jean Meunier
Recognizing human actions can help in numerous ways, such as health monitoring, intelligent surveillance, virtual reality and human?computer interaction. A quick and accurate detection algorithm is required for daily real-time detection. This paper first...
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Syed Agha Hassnain Mohsan, Yanlong Li, Muhammad Sadiq, Junwei Liang and Muhammad Asghar Khan
Oceans cover more than 70% of the Earth?s surface. For various reasons, almost 95% of these areas remain unexplored. Underwater wireless communication (UWC) has widespread applications, including real-time aquatic data collection, naval surveillance, nat...
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Qaisar Abbas, Talal Saad Albalawi, Ganeshkumar Perumal and M. Emre Celebi
In recent years, advances in deep learning (DL) techniques for video analysis have developed to solve the problem of real-time processing. Automated face recognition in the runtime environment has become necessary in video surveillance systems for urban ...
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Juan Zuluaga-Gomez, Amrutha Prasad, Iuliia Nigmatulina, Petr Motlicek and Matthias Kleinert
In this paper we propose a novel virtual simulation-pilot engine for speeding up air traffic controller (ATCo) training by integrating different state-of-the-art artificial intelligence (AI)-based tools. The virtual simulation-pilot engine receives spoke...
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