%0 Journal Article
%T Real-Time Image Matching Using the Trajkovic and Hedley Algorithm
%A Mary Jane Samonte
%A Rizan Joseph jr. Alcantara
%A Marvin Evangelista
%A Kevin Patrick Rabang
%J Studies in Surveying and Mapping Science
%D 2013
%I American Society of Science and Engineering
%X One way to acquire information is through surveillance videos. Changes in the video feed can be seen more accurately through image matching. There are several approaches to image matching; and one of these is the SIFT algorithm. Aside from SIFT, Trajkovic and Hedley is another, if not the fastest and most efficient, of the corner detection algorithms. By replacing the keypoint extraction of the SIFT algorithm to the Trajkovic and Hedley corner detection algorithm, the SIFT algorithm will become faster. The study is composed of different phases, including Pre-Processing, Feature Extraction and the Matching Phase. This study has two objectives: to introduce a new method when it comes to image matching, especially with the use of the SIFT algorithm, and the use of other approaches as alternatives used in surveillance and security.
%K Trajkovic and Hedley
%K SIFT Algorithm
%K Keypoint Matching
%K Corner Detection
%U http://www.as-se.org/ssms//Download.aspx?ID=2898