The Deviation Analysis and Application of Correlation Tracking Algorithm

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 an...

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Main Authors: Zeng Qinyong, Huang Zhengzhong, Qin Kaiyu, Tang Xiangcheng
Format: Article
Language:English
Published: EDP Sciences 2018-01-01
Series:MATEC Web of Conferences
Online Access:https://doi.org/10.1051/matecconf/201823203006
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spelling doaj-1602b2bd9f1f4467be721ed040cfcf152021-03-02T09:54:59ZengEDP SciencesMATEC Web of Conferences2261-236X2018-01-012320300610.1051/matecconf/201823203006matecconf_eitce2018_03006The Deviation Analysis and Application of Correlation Tracking AlgorithmZeng QinyongHuang Zhengzhong0Qin Kaiyu1Tang Xiangcheng2Southwest Institute of Technical PhysicsUniversity of Electronic Science and Technology of ChinaSouthwest Institute of Technical PhysicsCorrelation 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.https://doi.org/10.1051/matecconf/201823203006
collection DOAJ
language English
format Article
sources DOAJ
author Zeng Qinyong
Huang Zhengzhong
Qin Kaiyu
Tang Xiangcheng
spellingShingle Zeng Qinyong
Huang Zhengzhong
Qin Kaiyu
Tang Xiangcheng
The Deviation Analysis and Application of Correlation Tracking Algorithm
MATEC Web of Conferences
author_facet Zeng Qinyong
Huang Zhengzhong
Qin Kaiyu
Tang Xiangcheng
author_sort Zeng Qinyong
title The Deviation Analysis and Application of Correlation Tracking Algorithm
title_short The Deviation Analysis and Application of Correlation Tracking Algorithm
title_full The Deviation Analysis and Application of Correlation Tracking Algorithm
title_fullStr The Deviation Analysis and Application of Correlation Tracking Algorithm
title_full_unstemmed The Deviation Analysis and Application of Correlation Tracking Algorithm
title_sort deviation analysis and application of correlation tracking algorithm
publisher EDP Sciences
series MATEC Web of Conferences
issn 2261-236X
publishDate 2018-01-01
description 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.
url https://doi.org/10.1051/matecconf/201823203006
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