SELECTING OBJECTS WITHIN A VERTICAL RANGE OF ONE ANOTHER CORRESPONDING TO PALLETS IN AN IMAGE SCENE
First Claim
1. A method for identifying one or more scored candidate objects that may correspond to one or more actual pallets in a gray scale image, comprising:
- identifying, by a computer, a first plurality of scored candidate objects in the gray scale image;
storing, by the computer, a starting list of the first plurality of scored candidate objects, wherein the starting list includes a respective record for each of the first plurality of scored candidate objects that includes a respective location of the scored candidate object within the gray scale image, and a respective composite object score that represents a likelihood that the scored candidate object corresponds to an actual pallet structure in the gray scale image; and
removing from the starting list each of the first plurality of scored candidate objects which;
a) is located within a predetermined vertical distance of a particular one of the first plurality of scored candidate objects; and
b) has a respective composite score less than that of the particular one scored candidate object.
1 Assignment
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Accused Products
Abstract
A method is provided for identifying one or more scored candidate objects that may correspond to one or more actual pallets in a gray scale image. The method may comprise: identifying, by a computer, a first plurality of scored candidate objects in the gray scale image; storing, by the computer, a starting list of the first plurality of scored candidate objects, wherein the starting list includes a respective record for each of the first plurality of scored candidate objects that includes a respective location of the scored candidate object within the gray scale image, and a respective composite object score that represents a likelihood that the scored candidate object corresponds to an actual pallet structure in the gray scale image; and removing from the starting list each of the first plurality of scored candidate objects which: a) is located within a predetermined vertical distance of a particular one of the first plurality of scored candidate objects; and b) has a respective composite score less than that of the particular one scored candidate object.
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Citations
24 Claims
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1. A method for identifying one or more scored candidate objects that may correspond to one or more actual pallets in a gray scale image, comprising:
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identifying, by a computer, a first plurality of scored candidate objects in the gray scale image; storing, by the computer, a starting list of the first plurality of scored candidate objects, wherein the starting list includes a respective record for each of the first plurality of scored candidate objects that includes a respective location of the scored candidate object within the gray scale image, and a respective composite object score that represents a likelihood that the scored candidate object corresponds to an actual pallet structure in the gray scale image; and removing from the starting list each of the first plurality of scored candidate objects which; a) is located within a predetermined vertical distance of a particular one of the first plurality of scored candidate objects; and b) has a respective composite score less than that of the particular one scored candidate object. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A system for identifying one or more scored candidate objects that may correspond to one or more actual pallets in a gray scale image, comprising:
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a processor configured to execute instructions in an accessible memory; an object identifier component configured to identify a first plurality of scored candidate objects in the gray scale image; a storage device coupled with the processor and configured to store a starting list of the first plurality of scored candidate objects, wherein the starting list includes a respective record for each of the first plurality of scored candidate objects that includes a respective location of the scored candidate object within the gray scale image, and a respective composite object score that represents a likelihood that the scored candidate object corresponds to an actual pallet structure in the gray scale image; and an object analyzer component configured remove from the starting list each of the first plurality of scored candidate objects which; a) is located within a predetermined vertical distance of a particular one of the first plurality of scored candidate objects; and b) has a respective composite score less than that of the particular one scored candidate object. - View Dependent Claims (10, 11, 12, 13, 14, 15, 16)
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17. A computer program product for identifying one or more scored candidate objects that may correspond to one or more actual pallets in a gray scale image, comprising:
a computer readable storage medium having computer readable program code embodied therewith, the computer readable program code comprising; computer readable program code configured to identify a first plurality of scored candidate objects in the gray scale image; computer readable program code configured to maintain a starting list of the first plurality of scored candidate objects, wherein the starting list includes a respective record for each of the first plurality of scored candidate objects that includes a respective location of the scored candidate object within the gray scale image, and a respective composite object score that represents a likelihood that the scored candidate object corresponds to an actual pallet structure in the gray scale image; and computer readable program code configured to remove from the starting list each of the first plurality of scored candidate objects which; a) is located within a predetermined vertical distance of a particular one of the first plurality of scored candidate objects; and b) has a respective composite score less than that of the particular one scored candidate object. - View Dependent Claims (18, 19, 20, 21, 22, 23, 24)
Specification