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3-D model based method for detecting and classifying vehicles in aerial imagery

  • US 8,913,783 B2
  • Filed: 10/28/2010
  • Issued: 12/16/2014
  • Est. Priority Date: 10/29/2009
  • Status: Expired due to Fees
First Claim
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1. A computer implemented method for determining a vehicle type of a vehicle detected in an image, comprising the steps of:

  • receiving an image comprising a detected vehicle;

    projecting a plurality of vehicle models comprising salient feature locations on the detected vehicle in the image, wherein each vehicle model is associated with a vehicle type;

    comparing a first set of features derived from each of the salient feature locations of the vehicle models to a second set of features derived from corresponding salient feature locations of the detected vehicle to form a plurality of positive match scores (p-scores) and a plurality of negative match scores (n-scores); and

    classifying the detected vehicle as one of the plurality of vehicle models by;

    forming a feature vector of n-scores and p-scores;

    training a set of specific vehicle-type (SVM) classifiers;

    comparing the detected vehicle to each of the trained classifiers; and

    associating the detected vehicle with a selected trained classifier based on a confidence value produced by the selected trained classifier.

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