Automated pointing and control of high resolution cameras using video analytics
An automated method for cueing a high resolution video camera to a mobile object involves first detecting the presence of an object by a wide-area surveillance asset such as a radar and using the radar's positional information to cue the video camera iteratively, while updating the positional information each time. Then, a video analytics algorithm detects the object and generates more accurate positional and rate information on the object, which is then used to cue the video camera into a higher resolution setting for classifying/identifying the object. Once the object is identified, the positional and rate information is updated and the updated information is used to further cue the video camera into a higher resolution setting for recording a video clip of the moving object while the video camera is dynamically steered.