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Dynamic learning for object tracking

  • US 9,117,100 B2
  • Filed: 09/11/2013
  • Issued: 08/25/2015
  • Est. Priority Date: 09/11/2013
  • Status: Expired due to Fees
First Claim
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1. A method for tracking an object, comprising:

  • detecting a plurality of objects from image data, wherein the plurality of objects comprises a first object, and wherein the first object is identified using a first label for a positive tracking object and remaining objects of the plurality of objects are identified using a second label for negative tracking objects to indicate that the first object is to be the focus of tracking and that the remaining objects are not to be the focus of tracking, and to indicate that information associated with the first object is maintained in a dataset different than information associated with the remaining objects of the plurality of objects;

    tracking a difference associated with one or more features for the plurality of objects with respect to the first object from the image data, wherein tracking the difference associated with the one or more features for the plurality of objects comprises dynamically learning and storing information about the difference of the one or more features associated with one or more of the plurality of objects, and wherein the dynamically learned information is maintained in an IDFL (Interactive Decision Forest Learning) dataset for each detected object; and

    identifying the first object from the plurality of objects using the tracking difference associated with the one or more features for the plurality of objects.

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