Abstract:
Provided are a digital image processing apparatus which corrects a position of each of a plurality of template motion vectors of an image frame of a captured image by considering relative positions of neighboring motion vectors respectively similar to each of the template motion vectors, calculates a score of each of the template motion vectors by considering a number of the neighboring motion vectors, and selects a global motion vector representing the image frame based on the score, and a method of estimating a global motion of an image to stabilize the captured image using the global motion.
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.