In this paper, a novel method based on binary Particle Swarm Optimization (BPSO) inspired
probability is proposed to solve the camera network placement problem. Ensuring accurate …

As the use of camera networks has expanded, camera placement to satisfy some quality
assurance parameters (such as a good coverage ratio, an acceptable resolution constraints …

While the theoretical foundation of the optimal camera placement problem has been studied
for decades, its practical implementation has recently attracted significant research interest …

Optimizing the visual sensors coverage to perform security monitoring tasks has an
undeniable impact on the performance as well as the cost of video surveillance systems …

With the increasing need for public security and intelligent life and the development of
Internet of Things (IoT), the structure and application of vision sensor network are becoming …

Efficient placement of cameras to perform surveillance tasks has a significant impact on the
overall performance as well as cost of video surveillance systems. Identifying an optimal …

This paper addresses the camera placement problem for smart cities in 3-D space and
proposes a heuristic algorithm that maximizes the weighted coverage rate while satisfying …

As markers for visual sensor networks have become larger, interest in the optimal camera
placement problem has continued to increase. The most featured solution for the optimal …

In optimal design of monitoring systems, maximizing the coverage and quality at a minimum
cost, the proper positioning of cameras is an important issue and the quality of the image …

This paper studies how to improve the field of view (FOV) coverage of a camera network. We
focus on a special but practical scenario where the cameras are randomly scattered in a …