The automation strategy of today's smart cities relies on large IoT (internet of Things)
systems that collect big data analytics to gain insights. Although there have been recent …

Video analytics with deep learning techniques has generated immense interest in academia
and industry, captivating minds with its transformative potential. Deep learning techniques …

Urban environments present unique challenges from the perspective of surveillance and
security. High volumes of activity data, different weather conditions, crowded scenes …

The world is witnessing an unprecedented increase in camera deployment. The USA and
UK, for instance, have one camera for every 8 people. Video analytics from these cameras …

The multifarious video contents generated through various applications is growing
exponentially resulting in huge volumes. Analyzing these contents manually is a …

There is increasing reliance on video surveillance systems for systematic derivation,
analysis and interpretation of the data needed for predicting, planning, evaluating and …

Video surveillance systems obtain a great interest as application-oriented studies that have
been growing rapidly in the past decade. The most recent studies attempt to integrate …

As one of the internet of things (IoT) use cases, wireless surveillance systems are rapidly
gaining popularity due to their easier deployability and improved performance. Videos …

With the installation of enormous public safety and transportation infrastructure cameras,
video analytics has come to play an essential part in public safety. Typically, video analytics …

Recent advances in machine learning and deep learning have enabled many existing
applications in smart cities, autonomous systems, and wearable devices. These applications …