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Behavior and pattern analysis using multiple category learning

  • US 8,103,090 B2
  • Filed: 01/22/2007
  • Issued: 01/24/2012
  • Est. Priority Date: 01/22/2007
  • Status: Active Grant
First Claim
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1. A video processing system comprising:

  • one or more computer processors configured to;

    receive first training video samples from a plurality of video sensing devices, the first training video samples comprising substantially similar subject matter;

    generate a first training probability density function using features extracted from the first training video samples;

    receive second training video samples from the plurality of video sensing devices, the second training video samples comprising insubstantially similar subject matter; and

    generate a second training probability density function using features extracted from the second training video samples;

    wherein the features extracted from the first training video samples are extracted from a plurality of sub-images in the first training video samples, wherein the features extracted from the second training video samples are extracted from a plurality of sub-images in the second training video samples, wherein a location in a video frame of each sub-image in the second video training samples corresponds to a substantially similar location in a video frame for each corresponding sub-image in the first training video samples, and wherein the sub-images in the first training video samples and the sub-images in the second video training samples are non-contiguous within a field of view of the plurality of video sensing devices.

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