×

Method and system for tracking and behavioral monitoring of multiple objects moving through multiple fields-of-view

  • US 8,547,437 B2
  • Filed: 11/12/2003
  • Issued: 10/01/2013
  • Est. Priority Date: 11/12/2002
  • Status: Active Grant
First Claim
Patent Images

1. A computerized method of video analysis comprising:

  • receiving, at a computerized receiving device, a plurality of series of video frames generated by a plurality of image sensors, each image sensor having a field-of-view that monitors a portion of a monitored environment;

    concurrently tracking, using a tracking module, a plurality of objects with respect to the monitored environment as the objects move among fields-of-view, wherein the tracking is based at least in part on a transition probability table, in which a first axis of the table represents a first set of image regions within video frames generated by the image sensors at a first point in time, a second axis of the table represents a second set of image regions within video frames generated by the image sensors at a second point in time, and each entry in the table represents a likelihood that one of the plurality of objects included in the first-axis image region corresponding to the entry will transition by the second time period to the second-axis image region corresponding to the entry;

    storing a plurality of blob states over time, each state including a number of objects included in the blob and a blob signature, wherein the transition probability table comprises probabilities that objects within one blob at one instant in time correspond to objects within other blobs at other instants in time; and

    predicting, concurrently with the tracking, an image sensor in the plurality of image sensors having a field-of-view in which at least one of the plurality of objects will be located at the second point in time, wherein the prediction is based on the presence of the at least one of the plurality of objects in a region in the first set of image regions at the first point in time and on the transition probability table, independent of calibration among the image sensors and the monitored environment.

View all claims
  • 11 Assignments
Timeline View
Assignment View
    ×
    ×