Apparatus and method for extracting target, and recording medium storing program for performing the method
First Claim
1. A method of extracting a target, the method comprising:
- extracting a background image from an input image;
modeling brightness values of the input image and the background image based on a Gaussian distribution to generate an input image modeling result and a background image modeling result;
calculating likelihood ratios for determining whether a pixel in the input image corresponds to a target based on a correlation between the input image modeling result and the background image modeling result and target templates having different sizes;
determining a location of the target based on the calculated likelihood ratios; and
outputting the determined location of the target,wherein, for a plurality of targets, the determining of the locations of the targets comprises;
receiving the likelihood ratios and a threshold for target determination;
generating a target map having a same size as the input image, setting areas on the target map to have a first value when each of the likelihood ratios for the areas is greater than the threshold, and setting areas on the target map to have a second value when each of the likelihood ratios for the areas is not greater than the threshold; and
determining each area set to the first value as a single target, setting a representative location for each of the plurality of targets, and determining the representative locations as locations of the plurality of targets.
7 Assignments
0 Petitions
Accused Products
Abstract
A target extracting apparatus and method for extracting a target through probability modeling of pixel brightness values in an image, and a recording medium storing a program for performing the method, are disclosed. The method includes extracting a background image from an input image, modeling brightness values of the input image and the background image based on a Gaussian distribution to generate an input image modeling result and a background image modeling result, calculating likelihood ratios for determining whether a pixel in the input image corresponds to a target based on a correlation between the input image modeling result and the background image modeling result and target templates having different sizes; determining a location of the target based on the calculated likelihood ratios; and outputting the determined location of the target.
4 Citations
18 Claims
-
1. A method of extracting a target, the method comprising:
-
extracting a background image from an input image; modeling brightness values of the input image and the background image based on a Gaussian distribution to generate an input image modeling result and a background image modeling result; calculating likelihood ratios for determining whether a pixel in the input image corresponds to a target based on a correlation between the input image modeling result and the background image modeling result and target templates having different sizes; determining a location of the target based on the calculated likelihood ratios; and outputting the determined location of the target, wherein, for a plurality of targets, the determining of the locations of the targets comprises; receiving the likelihood ratios and a threshold for target determination; generating a target map having a same size as the input image, setting areas on the target map to have a first value when each of the likelihood ratios for the areas is greater than the threshold, and setting areas on the target map to have a second value when each of the likelihood ratios for the areas is not greater than the threshold; and determining each area set to the first value as a single target, setting a representative location for each of the plurality of targets, and determining the representative locations as locations of the plurality of targets. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
-
-
10. An apparatus which extracts a target, the apparatus comprising:
-
a background image extractor which extracts a background image from an input image; a Gaussian distribution modeler which models brightness values of the input image and the background image based on a Gaussian distribution to generate an input image modeling result and a background image modeling result; a likelihood ratio calculator which calculates likelihood ratios used to determine whether a pixel in the input image corresponds to a target based on a correlation between the input image modeling result and the background image modeling result and target templates having different sizes; and a target location determiner which determines a location of the target based on the calculated likelihood ratios and outputs the determined location of the target, wherein, for a plurality of targets, the target location determiner receives the likelihood ratios and a threshold for target determination, generates a target map having a same size as the input image, sets areas on the target map to have a first value when each of the likelihood ratios for the areas are is greater than the threshold, sets areas on the target map to have a second value when each of the likelihood ratios for the areas is not greater than the threshold, determines each area set to the first value as a single target, sets a representative location for each of the plurality of targets, and determines the representative locations as locations of the plurality of targets. - View Dependent Claims (11, 12, 13, 14, 15, 16, 17)
-
-
18. A non-transitory computer-readable recording medium storing a computer-readable program for executing a method of extracting a target, the method including:
-
extracting a background image from an input image; modeling brightness values of the input image and the background image based on a Gaussian distribution to generate an input image modeling result and a background image modeling result; calculating likelihood ratios for determining whether a pixel in the input image corresponds to a target based on a correlation between the input image modeling result and the background image modeling result and target templates having different sizes; determining a location of the target based on the calculated likelihood ratios; and outputting the determined location of the target, wherein, for a plurality of targets, the determining of the locations of the targets comprises; receiving the likelihood ratios and a threshold for target determination; generating a target map having a same size as the input image, setting areas on the target map to have a first value when each of the likelihood ratios for the areas is greater than the threshold, and setting areas on the target map to have a second value when each of the likelihood ratios for the areas is not greater than the threshold; and determining each area set to the first value as a single target, setting a representative location for each of the plurality of targets, and determining the representative locations as locations of the plurality of targets.
-
Specification