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System and method for image analysis

  • US 10,037,471 B2
  • Filed: 07/05/2017
  • Issued: 07/31/2018
  • Est. Priority Date: 07/05/2016
  • Status: Active Grant
First Claim
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1. A method for image analysis, comprising:

  • recording an image at a vehicle system mounted to a vehicle;

    automatically detecting an object within the image with a first module;

    automatically defining a first bounding box about the detected object;

    modifying the image with the first bounding box for the detected object to generate a first modified image;

    at a first verification module associated with the first module, labeling the first bounding box within the modified image as one of a false positive, a false negative, a true positive, and a true negative detected object;

    training the first module with the label for the first bounding box;

    automatically classifying the detected object with a second module, wherein classifying the detected object comprises automatically assigning an object class to the detected object, wherein the object class is one of a plurality of object classes, to generate a classified object;

    modifying the image with a second bounding box for the classified object to generate a second modified image, wherein the second modified image comprises a set of pixels;

    at a second verification module associated with the object class, labeling the second bounding box within the second modified image as one of a false positive, a false negative, a true positive, and a true negative for the object class, wherein the second verification module is one of a plurality of verification modules, each associated with a different object class of the plurality of object classes, wherein labeling the second bounding box comprises;

    automatically determining a horizon in the second modified image based on image fiducials, andautomatically labeling the detected object as a false positive based on at least a portion of the second bounding box comprising pixels of the set of pixels located above the horizon;

    training the second module with the label for the second bounding box within the second modified image; and

    automatically detecting and classifying objects within a second image, recorded at the vehicle system, with the trained first module and trained second module, respectively.

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