文章基本信息

标题：The Deviation Analysis and Application of Correlation Tracking Algorithm
本地全文：下载
作者：Qinyong Zeng ; Zhengzhong Huang ; Kaiyu Qin 等
期刊名称：MATEC Web of Conferences
电子版ISSN：2261-236X
出版年度：2018
卷号：232
DOI：10.1051/matecconf/201823203006
语种：English
出版社：EDP Sciences
摘要：Correlation tracking algorithm is the most widely used image tracking algorithm . Its main error sources include processing error and positioning error. In order to improve the accuracy of correlation tracking algorithm, a mathematical model of positioning error based on the theory of random walk and martingale is set up, and the average time of positioning error exceeds the range is presented. The image-interpolation method and surfaces-fitting method are put forward to suppress the positioning error and improve the accuracy. Simulation results show that: compared with the whole pixel tracking, quadratic interpolation tracking can double the accuracy, and quartic interpolation and surfaces-fitting can improve the tracking accuracy of about 4 times.