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Neural network for object detection in images

  • US 10,346,723 B2
  • Filed: 11/01/2016
  • Issued: 07/09/2019
  • Est. Priority Date: 11/01/2016
  • Status: Active Grant
First Claim
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1. A device implemented method for image recognition, the method comprising:

  • accessing, using one or more processors of the device coupled to a memory of the device, an image depicting an object of interest and a background within a field of view;

    detecting, by the one or more processors using a set of detection layers of the multilayer object model, at least a portion of the object of interest within the image;

    detecting, by the one or more processors using a set of detection layers of the multilayer object model, at least a portion of the background within the image;

    extracting, by the one or more processors using a set of image representation layers of the multilayer object model comprising a lower image representation layer and a higher image representation layer, context information from the portion of the background, wherein a layer output of the higher image representation layer includes the extracted context information; and

    identifying, by the one or more processors, the object of interest from the detected portion of the object of interest and the context information, using the set of image representation layers of the multilayer object model, passing the layer output of the higher image representation layer including the extracted context information backward to the lower image representation layer.

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