Moving camera analytics: Emerging scenarios, challenges, and applications


In recent years, additional than one billion cameras are actively used on moving platforms, and various video analytics applications for moving cameras are rising in various areas. Each of those applications can generate terribly massive datasets to research. In this paper, we gift practical approaches to handle and summarize the video content from moving cameras and use the appliance of unmanned aerial vehicles (UAVs) for instance. Our system is enabled by a geographic information system (GIS), and video summarization is used to come up with efficient representations of videos on the premise of moving object detection and tracking. The approach automatically creates a panorama for videos and includes a completely unique registration methodology we have a tendency to developed for normalizing 3D distortion. Our experimental results on the UAV dataset show that we can accomplish a ten,000-fold data reduction without losing important activities of interest. We have a tendency to also present a summary of the rising landscape of mobile video analytics and the way it might evolve at the side of alternative distributed mobile and static sensor networks.

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