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Hierarchical information fusion object recognition system and method

  • US 5,963,653 A
  • Filed: 06/19/1997
  • Issued: 10/05/1999
  • Est. Priority Date: 06/19/1997
  • Status: Expired due to Term
First Claim
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1. A hierarchical object recognition method for aggregation, interpretation and classification of information from multiple sensor sources on the detection feature attribute level, comprising the following steps:

  • extracting information derived from each said sensor source to obtain detections and their feature attributes;

    providing at least two processing streams, one for each said sensor source, for converting said detections and their feature attributes into hypotheses on identity and class of detected objects;

    fusing said hypotheses at different feature levels for each said processing streams via hierarchical information fusion algorithms; and

    sharing and combining the detection feature attributes and hypotheses about the detections between the two processing streams using said hierarchical information fusion algorithms to determine which ones of said hypotheses on identity and class of detected objects have the highest probabilities, and providing said fused hypotheses to said processing streams for determining hypotheses based on said feature attributes.

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