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Extracting motion saliency features from video using a neurosynaptic system

  • US 10,528,843 B2
  • Filed: 12/27/2017
  • Issued: 01/07/2020
  • Est. Priority Date: 04/29/2014
  • Status: Active Grant
First Claim
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1. A method for motion history tracking in video, comprising:

  • receiving an input video; and

    utilizing one or more neurosynaptic core circuits to perform operations including;

    generating neural spiking data for the input video, wherein the neural spiking data comprises, for each pixel of each image frame of the input video, neural spikes representing pixel intensity of the pixel;

    processing the neural spiking data to extract motion saliency features indicative of at least one region of interest in the input video where motion is detected; and

    tracking at least one object with non-uniform speed in the at least one region of interest in the input video based on the motion saliency features extracted;

    wherein each neurosynaptic core circuit comprises a plurality of electronic neurons, a plurality of electronic axons, and a plurality of electronic synapse devices interconnecting the electronic neurons with the electronic axons.

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