CCTV-based surveillance using unmanned aerial vehicles (UAVs) is considered a key technology for security in smart city environments. This paper creates case where the UAVs with CCTV-cameras fly over area flexible and reliable services. should be deployed to cover large while minimize overlapping shadow areas system. However, operation of subject high uncertainty, necessitating autonomous recov...

Poisson and negative binomial regression methods are used to analyze the monthly time series data to determine the effects of introducing an integrated security management system including closed-circuit television (CCTV), door alarm monitoring, proximity card access, and emergency call boxes to a large privately-owned complex of apartment buildings in New York City. Crime rates in a control ap...

To provide in-time reactions to a large volume of surveillance data, uncertainty-enabled event reasoning frameworks for CCTV and sensor based intelligent surveillance system have been integrated to model and infer events of interest. However, most of the existing works do not consider decision making under uncertainty which is important for surveillance operators. In this paper, we extend an ev...

In spite of excellent performance deep learning-based computer vision algorithms, they are not suitable for real-time surveillance to detect abnormal behavior because very high computational complexity. this paper, we propose a system analysis in closed-circuit television (CCTV) environment by constructing an algorithm and optimized CCTV environment. The proposed method combines pedestrian dete...