Model-based incident detection system with motion classification

  • US 6,985,172 B1
  • Filed: 01/25/2002
  • Issued: 01/10/2006
  • Est. Priority Date: 12/01/1995
  • Status: Expired due to Term
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First Claim
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1. A method of using video images to monitor incidents in a region of interest, comprising the steps of:

  • computing a reference image from a set of images by removing moving objects from the set of images;

    storing a motion model representing anticipated motion in the region of interest;

    acquiring a image to be analyzed;

    computing a temporal difference image by comparing the image to be analyzed with the reference image;

    repeating the step of computing a temporal difference image to obtain a set of temporal difference images;

    calculating, from the set of temporal difference images, at least one temporal difference statistic for each pixel;

    detecting motion in a temporal difference image by separating motion pixels from background in the temporal difference image, using the temporal difference statistic;

    grouping motion pixels into motion objects;

    extracting features from the objects;

    comparing the features of motion objects to the motion model;

    wherein the motion model classifies objects as anticipated or not anticipated; and

    wherein the motion model further classifies anticipated objects as being of interest or not of interest.

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