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ANOMALOUS PATTERN DISCOVERY

  • US 20120237081A1
  • Filed: 03/16/2011
  • Published: 09/20/2012
  • Est. Priority Date: 03/16/2011
  • Status: Active Grant
First Claim
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1. A method for anomalous pattern discovery, the method comprising:

  • tracking movement of an object in a trajectory in a video data image field, wherein the image field is partitioned into a plurality of different grids;

    extracting global image features from the video data image field relative to the tracked object trajectory;

    comparing the global image features extracted relative to the tracked object trajectory to a learned trajectory model and generating a global anomaly detection confidence decision value as a function of fitting the extracted global image features to the learned trajectory model;

    extracting local image features from the video data for each of the image field grids that include the tracked object trajectory;

    comparing the extracted local image features for each of the grids that include the tracked object trajectory to learned feature models for each of the grids that include the tracked object trajectory and generating a local anomaly detection confidence decision value for each of said grids that include the tracked object trajectory as a function of fitting the extracted local image features to the learned feature models for the each grids; and

    fusing the generated global anomaly detection confidence decision value with the generated local anomaly detection confidence decision values for the grids that include the tracked object trajectory into a fused anomaly decision with respect to the tracked object.

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