… Video analytics has stakes from surveillance to space. The demand for intelligent video analytics
is … According to Reference [4] intelligent video analytics market is expected to grow from …

… In this paper, we present our work on building a real-time intelligent video analytics framework
based on deep learning for services deployed at the Internet edge. Nowadays, camera …

… Another instance where these intelligent systems can outsmart human … intelligent video
surveillance system to identify, detect and alert the abnormal object and human exists in the video…

… We argue that we could get near realtime video analytics by redesigning current models
as co-models, which are instants of the original model but work on multiple devices …

The goal of the work is to automate video surveillance. The work holds its importance since
the camera surveillance under manual supervision fails occasionally. Face images of …

… This section covers some challenges related to large-scale video analytics event-based
applications and techniques recently developed to address them. The research community …

… in video analytics and intelligent video systems (IVS). We evaluated the state-of-the-art
approach to video analytics … emphasis on algorithm-based analytics and applications. Hardware-…

… action recognition methods for intelligent video analytics. We … classic and edge AI intelligent
video analytics systems in the … action recognition in intelligent video analytics, suggesting …

… The biggest application domain of video analytics in the police department is intelligent
video surveillance, which utilizes various video analytics techniques to recognize humans, …

… , it is possible to connect our video analytics services with other popular cloud platforms like
… fully utilize our video analytics system. They can also access our video surveillance services …