Detecting objects in images using color histograms
First Claim
1. 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.
10 Assignments
0 Petitions
Accused Products
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.
-
Citations
20 Claims
-
1. 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. - View Dependent Claims (2, 3, 4, 5, 6, 7)
-
-
8. 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. - View Dependent Claims (9, 10, 11, 12, 13, 14)
-
-
15. 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. - View Dependent Claims (16, 17, 18, 19, 20)
-
Specification