DocumentCode :
2699545
Title :
A fast template matching algorithm based on central moments of images
Author :
Lai, Ru ; Liu, Xiangdong ; Ohkawa, Fujio
Author_Institution :
Dept. of Autom. Control, Beijing Inst. of Technol., Beijing
fYear :
2008
fDate :
20-23 June 2008
Firstpage :
596
Lastpage :
600
Abstract :
This paper presents a new template matching algorithm in which the central moments are used as the matching features and the idea of integral image are used to decrease the time for image matching process. The algorithm also combines coarse-fine two-stage searching methods to effectively solve the problem of finding the peak point of the correlation functions accurately and robustly. It is different with traditional methods in which pixels are used as matching features. Experiment results show that the image process procedure can be finished within 40 ms, which is the rate of image signal send from TV camera for real time object tracking. The results has broad applications in the fields of real time moving object tracking, pattern recognition and the machine vision, etc.
Keywords :
feature extraction; image matching; image motion analysis; object recognition; TV camera; central moments; coarse-fine two-stage searching methods; correlation functions; fast template matching algorithm; feature matching; image matching; integral image; machine vision; pattern recognition; real time moving object tracking; Application software; Image matching; Image processing; Informatics; Military aircraft; Military computing; Paper technology; Pattern recognition; Robotics and automation; Technological innovation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information and Automation, 2008. ICIA 2008. International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-2183-1
Electronic_ISBN :
978-1-4244-2184-8
Type :
conf
DOI :
10.1109/ICINFA.2008.4608069
Filename :
4608069
Link To Document :
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