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Video analytics will drive a wide range of applications with great potential to impact society. A geographically distributed architecture of public clouds and edges that extend down to the cameras is the only feasible approach to meeting the strict real-time requirements of large-scale live video analytics.
Video analytics has become a very important topic in computer vision. This paper introduces advanced video analytics human–computer interfaces for a video surveillance system to ease the tasks of security operators. The visualization of the most relevant views is provided by the human–computer interface module that preemptively activates cameras that will probably cover the motion of interesting objects...
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