The current concept of smart cities influences urban planners and researchers to provide
modern, secured and sustainable infrastructure and gives a decent quality of life to its …

Capturing the abnormal event from surveillance videos enhances the safety and well-being
of the citizens. The application of EdgeAI (Edge computing-based Artificial Intelligent) meets …

In video surveillance, anomaly detection requires training machine learning models on
spatio-temporal video sequences. However, sometimes the video-only data is not sufficient …

Innovative enhancement in embedded system platforms, specifically hardware
accelerations, significantly influences the application of deep learning in real-world …

Events that do not confront normal behavior are called anomalies and they are extremely
arduous to recognize. The recent approaches that deploy a reconstruction approach for …

In the context of the Internet of Things (IoT), ensuring public safety relies heavily on the real-
time detection of anomalies in monitoring systems. Thus, video anomaly analysis has …

Automated video surveillance systems must be able to detect anomalies in congested
environments, especially in conditions with a lot of pedestrian activity. This study presents …

The use of micromobility vehicles, namely electric scooters or bicycles, has experienced an
upsurge in metropolitan areas. These vehicles share the lane with pedestrians, cars, and …