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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Series: | MATEC Web of Conferences |
Online Access: | https://doi.org/10.1051/matecconf/201823203006 |
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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 |
work_keys_str_mv |
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