Detecting objects in images using color histograms
AssigneeThe Nielsen Company (US), LLC
InventorMorris Lee
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Abstract
Methods, apparatus and articles of manufacture for detecting objects in images using color histograms are disclosed. Example methods disclosed herein include determining differences between bin values of a first color histogram corresponding to an object and respective adjusted bin values of a second color histogram corresponding to a first subregion of an image. Such disclosed example methods also include determining a first metric based on the differences. Such disclosed example methods further include comparing the first metric to a threshold to determine whether the first subregion of the image corresponds to a first possible location of the object in the image.
Claims20
A method to detect an object in an image, the method comprising:
- determining, with a processor, differences between bin values of a first color histogram corresponding to the object and respective adjusted bin values of a second color histogram corresponding to a first subregion of the image;
- determining, with the processor, a first metric based on the differences;
- and
- comparing, with the processor, the first metric to a threshold to determine whether the first subregion of the image corresponds to a first possible location of the object in the image.
A tangible machine readable medium comprising machine readable instructions which, when executed, cause a machine to at least:
- determine differences between bin values of a first color histogram corresponding to an object and respective adjusted bin values of a second color histogram corresponding to a first subregion of an image;
- determine a first metric based on the differences;
- and
- compare the first metric to a threshold to determine whether the first subregion of the image corresponds to a first possible location of the object in the image.
An apparatus to detect an object in an image, the apparatus comprising:
- a metric determiner to:
- determine differences between bin values of a first color histogram corresponding to the object and respective adjusted bin values of a second color histogram corresponding to a first subregion of the image;
- determine a first metric based on the differences;
- and
- a comparator to compare the first metric to a threshold to determine whether the first subregion of the image corresponds to a first possible location of the object in the image:
Dependencies are inferred from the claim text.