Selected Papers from Human Behavior Understanding for Smart City Environment Safety

Dear Colleagues,

Humankind has delved into the so-called digital era. Every day, many tasks feature the sending and receiving of digital data through increasingly sophisticated devices such as smartphones, embedded systems, laptops, sensors, and networks. Smart cities evolve accordingly alongside the mentioned factors by optimising data management, data analysis, and security checks to ensure secure and safe physical and digital environments for the well-being of citizens. ICT systems  build heavily upon cutting-edge techniques thanks to the latest progress in Artificial Intelligence, Pattern Recognition, Computer Vision, 3D simulations, and Digital Twins. One of the most important goals is to develop techniques to make digital environments more resilient. This ambitious goal can be achieved by running and testing the methods mentioned above in risk-based as well as open and innovative space scenarios. Here, high-priority tasks and integrated solutions supposedly detect suspicious activities, track human beings’ behaviour, identify unattended objects, determine  physical risks in sensitive locations and enact appropriate countermeasures to handle crises. Human behaviour analysis plays a critical role in the above-depicted scenarios, with human activities referring to individual and collective acts (crowd dynamics) [1][2].

The ambitious objective of this Special Issue is to gather contributions focusing on computer vision, artificial intelligence, simulation applications, and methods tackling human behaviour analysis in innovative city environments.

[1] Ullah, Zaib and Al-Turjman, Fadi and Mostarda, Leonardo and Gagliardi, Roberto. Applications of artificial intelligence and machine learning in smart cities. Computer Communications, vol 154, pages 313--323,(2020), Elsevier

[2] Sabeur, Zoheir and Angelopoulos, Constantinos Marios and Collick, Liam and Chechina, Natalia and Cetinkaya, Deniz and Bruno, Alessandro. Advanced Cyber and Physical Situation Awareness in Urban Smart Spaces. International Conference on Applied Human Factors and Ergonomics, Pages 428--441, (2021), Springer

Dr. Alessandro Bruno
Prof. Dr. Aladine Chetouani
Dr. Mangesh M. Ghonge
Dr. Pradeep N
Guest Editors

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• computer vision
• artificial intelligence
• machine learning
• deep learning
• digital twins
• simulation