Moving object identification from a video stream

A method for identifying moving objects in a video stream comprising a plurality of frames, the method comprising:

• processing the plurality of frames in the video stream by performing pixel analysis of sequential frames to identify a moving object;
• resizing the moving object according to input rules for a neural network object classifier;
• sending the resized moving object to the neural network object classifier;
• and
• receiving from the neural network object classifier an identification of the resized moving object,
• wherein the resizing the moving object comprises:
• resizing a large dimension of the moving object to be less than a largest maximum dimension for an input object for the neural network classifier;
• and
• filling a remainder of the moving object with random noise to make the moving object a desired size for the neural network object classifier.

A method for identifying moving objects in a video stream comprising a plurality of frames, the method comprising:

• reducing scale of a plurality of sequential frames by at least half;
• processing the plurality of frames in the video stream by performing pixel analysis of sequential frames to identify a moving object using rolling average pixel difference for each pixel in the sequential frames, wherein the rolling average pixel difference for each pixel in the sequential frames is performed in a first pass for a smaller number of frames and in a second pass for a larger number of frames that is at least an order of magnitude larger than the smaller number of frames;
• resizing the moving object according to input rules for a neural network object classifier, wherein the input rules for the neural network object classifier specify pixel size for objects input to the neural network object classifier, wherein the resizing the moving object comprises:
• resizing a large dimension of the moving object to be less than a largest maximum dimension for an input object for the neural network classifier;
• and
• filling a remainder of the moving object with random noise to make the moving object a desired size for the neural network object classifier;
• sending the resized moving object to the neural network object classifier;
• the neural network object classifier processing the resized moving object and a plurality of other input objects in parallel;
• and
• receiving from the neural network object classifier an identification of the resized moving object.