A Fast Template Matching Algorithm Based on Central Moments of Images
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 40ms,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.
Ru Lai Xiangdong Liu Fujio Ohkawa
Department of Automatic Control,Beijing Institute of Technology,China 100081 Department of System Innovation and Informatics,Kyushu Institute of Technology,Japan 820-8502
国际会议
2008 IEEE International Conference on Onformation and Automation(IEEE 信息与自动化国际会议)
张家界
英文
596-600
2008-06-20（万方平台首次上网日期，不代表论文的发表时间）