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Pixel-level based micro-feature extraction

  • US 10,049,293 B2
  • Filed: 03/16/2017
  • Issued: 08/14/2018
  • Est. Priority Date: 09/11/2008
  • Status: Active Grant
First Claim
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1. A processor-implemented method for tracking an object in a video scene, the method comprising:

  • determining, via at least one processor, at least one pixel-level characteristic for a foreground patch in a first video frame from a plurality of video frames of a video scene, the foreground patch including a set of pixels containing a portion of scene foreground in the first video frame of the video scene;

    determining, via the at least one processor, kinematics of an object in the video scene based at least in part on the at least one pixel-level characteristic;

    generating, via the at least one processor, a micro-feature vector based at least in part on the kinematics of the object, the micro-feature vector corresponding to at least one micro-feature value;

    updating, via the at least one processor, a neural network based at least in part on the micro-feature vector, the neural network including a plurality of clusters, each cluster in the plurality of clusters representing an object type;

    classifying, via the at least one processor, the object in the first video frame of the video scene as a first object type based on the updated neural network, the first object type being represented by a first cluster in the plurality of clusters; and

    tracking, via the at least one processor, the object in the video scene based on the micro-feature vector and the first object type.

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