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Vision-based target point tracking and aiming method

Xiao Bo Liang (State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin, China)
Xinghua Qu (State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin, China)
YuanJun Zhang (State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin, China)
Lianyin Xu (State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin, China)
Fumin Zhang (State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin, China)

Industrial Robot

ISSN: 0143-991x

Article publication date: 9 September 2021

Issue publication date: 11 February 2022

120

Abstract

Purpose

Laser absolute distance measurement has the characteristics of high precision, wide range and non-contact. In laser ranging system, tracking and aiming measurement point is the precondition of automatic measurement. To solve this problem, this paper aims to propose a novel method.

Design/methodology/approach

For the central point of the hollow angle coupled mirror, this paper proposes a method based on correlation filtering and ellipse fitting. For non-cooperative target points, this paper proposes an extraction method based on correlation filtering and feature matching. Finally, a visual tracking and aiming system was constructed by combining the two-axis turntable, and experiments were carried out.

Findings

The target tracking algorithm has an accuracy of 91.15% and a speed of 19.5 frames per second. The algorithm can adapt to the change of target scale and short-term occlusion. The mean error and standard deviation of the center point extraction of the hollow Angle coupling mirror are 0.20 and 0.09 mm. The mean error and standard deviation of feature points matching for non-cooperative target were 0.06 mm and 0.16 mm. The visual tracking and aiming system can track a target running at a speed of 0.7 m/s, aiming error mean is 1.74 pixels and standard deviation is 0.67 pixel.

Originality/value

The results show that this method can achieve fast and high precision target tracking and aiming and has great application value in laser ranging.

Keywords

Acknowledgements

National Natural Science Foundation of China (51775379); National key research and development plan of China (Grant Nos. 2018YFB2003501, 2020YFB2010701).

Citation

Liang, X.B., Qu, X., Zhang, Y., Xu, L. and Zhang, F. (2022), "Vision-based target point tracking and aiming method", Industrial Robot, Vol. 49 No. 2, pp. 249-255. https://doi.org/10.1108/IR-06-2021-0111

Publisher

:

Emerald Publishing Limited

Copyright © 2021, Emerald Publishing Limited

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