With the advancement of vision-based artificial intelligence, the proliferation of the Internet of
Things connected cameras, and the increasing societal need for rapid and equitable …

Multi-target multi-camera tracking of persons in indoor scenarios such as retail stores or
warehouses enables efficient placement of products and improvement of working …

The implementation of multi-target multi-camera tracking systems in indoor environments
including shops and warehouses facilitates strategic product positioning and the …

Video surveillance systems that involve embedded visual sensor nodes have significant
constraints due to their limited energy sources. Reducing the power consumption of the in …

Multi-camera tracking (MCT) plays a crucial role in various computer vision applications.
However accurate tracking of individuals across multiple cameras faces challenges …

Recent advancements in artificial intelligence (AI) have seen the emergence of smart video
surveillance (SVS) in many practical applications, particularly for building safer and more …

In this work, a real-time end-to-end person re-identification (Re-ID) system is developed for a
realistic unconstrained open-world environment. The raw surveillance videos are analyzed …

Crowd behavior recognition plays a critical role in various domains, including public safety,
event management, and urban planning. Understanding crowd dynamics and detecting …

Recently, Smart Video Surveillance (SVS) systems have been receiving more attention
among scholars and developers as a substitute for the current passive surveillance systems …

Cities, which are getting crowded day by day, face a number of issues, including increased
planning, inadequate infrastructure, heavy traffic and security. Due to such issues, the cities …