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Method and apparatus for joint kinematic and feature tracking using probabilistic argumentation

  • US 20050001759A1
  • Filed: 12/19/2003
  • Published: 01/06/2005
  • Est. Priority Date: 07/03/2003
  • Status: Active Grant
First Claim
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1. A method for joint kinematic and feature tracking comprising acts of:

  • receiving kinematic measurements and feature/class measurements regarding an object from at least one sensor;

    performing a probabilistic argumentation operation on the feature/class measurements using information from a rule-based knowledge base and a track file regarding the object to generate feature track likelihood scores that provide information regarding likely tracks for the object;

    generating kinematic track likelihood scores based on the kinematic measurements and the track file regarding the object;

    generating joint track likelihood scores based on the feature track likelihood scores and the kinematic track likelihood scores;

    using the joint track likelihood scores to generate a multi-frame track measurement association to determine a most likely track for the object; and

    updating the track file with the most likely track for the object;

    whereby the method tracks an object and continually updates the track file for the object, so that the most likely trajectory of the object is obtained.

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