Abstract: A video stream moving object identifier takes a series of video frames as input, reduces the scale of the video frames, then performs pixel analysis on the sequential video frames to identify moving objects. Once moving objects are identified, the moving objects are resized according to input rules for a neural network object classifier to make the resized objects the correct size to be input to the neural network object classifier. The moving objects are then sent to a neural network object classifier, which processes the objects and returns an identification of the moving objects. The neural network object classifier can operate using one or more whitelists and one or more blacklists.

Abstract: A video stream moving object identifier takes a series of video frames as input, reduces the scale of the video frames, then performs pixel analysis on the sequential video frames to identify moving objects. Once moving objects are identified, the moving objects are resized according to input rules for a neural network object classifier to make the resized objects the correct size to be input to the neural network object classifier. The moving objects are then sent to a neural network object classifier, which processes the objects and returns an identification of the moving objects. The neural network object classifier can operate using one or more whitelists and one or more blacklists.