USV Video Stabilization Algorithm Based on Multilayer Gray Projection

HU Jianxiang; HOU Yinan

doi:10.15892/j.cnki.djzdxb.2021.04.015

Journal of Projectiles, Rockets, Missiles and Guidance >

2021 , Vol. 41 >Issue 4: 65 - 68

DOI: https://doi.org/10.15892/j.cnki.djzdxb.2021.04.015

USV Video Stabilization Algorithm Based on Multilayer Gray Projection

HU Jianxiang ,
HOU Yinan

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No.32381 Unit, Beijing 100072, China

Received date: 2020-10-03

Online published: 2025-02-13

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Abstract

In order to deal with the unsteadiness of the videos caused by the shakiness of unmanned surface vessels (USV) while it is driving. An USV video stabilization algorithm based on multilayer gray projection is proposed. The purpose of stabilization is achieved by estimating and compensating the motion with differential gray projection, ring projection and circular projection. The proposed algorithm is more suitable for water surface than the traditional methods because it is more robust to the meaningless textures. The precision and robustness of the proposed algorithm in water surface is tested by doing experiments on dataset and the videos taken in water surface.

Key words： digital video stabilization; unmanned surface vessels; differential gray projection; ring projection; circular projection

Cite this article

HU Jianxiang , HOU Yinan . USV Video Stabilization Algorithm Based on Multilayer Gray Projection[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2021 , 41(4) : 65 -68 . DOI: 10.15892/j.cnki.djzdxb.2021.04.015

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References

Publishing order | Descend order by publishing year | Descend order by cited within

[1]	代威, 张雯, 张沥, 等. 国外海洋无人航行器的发展现状及趋势[J]. 兵器装备工程学报, 2018, 39(7):33-35.

[2]	赵茁, 冯文川. 水面自主艇平台总体技术[J]. 太赫兹科学与电子信息学报, 2019, 17(4):698-702.

[3]	刘欣, 杨格, 郭日成. 无人艇在电子战中的应用[J]. 科技导报, 2019, 37(4):20-25. DOI

[4]	金克帆, 王鸿东, 易宏, 等. 海上无人装备关键技术与智能演进展望[J]. 中国舰船研究, 2018, 13(6):1-8.

[5]	ALAHI A, ORTIZ R, VANDERGHEYNST P. FREAK: fast retina keypoint[C]// IEEE. Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition. New York: IEEE, 2012:510-517.

[6]	LEUTENEGGER S, SIEGWART R, CHLI M. BRISK: binary robust invariant scalable keypoints[C]// IEEE. Proceedings of the 2011 IEEE International Conference on Computer Vision. New York: IEEE, 2011:2548-2555.

[7]	SOUZA M R, PEDRINI H. Digital video stabilization based on adaptive camera trajectory smoothing[J]. EURASIP Journal on Image and Video Processing, 2018, 37:1-11.

[8]	PAE D S, AN C G, KANG T K, et al. Advanced digital image stabilization using similarity-constrained optimization[J]. Multimedia Tools and Applications, 2019, 78(12):16489-16506.

[9]	SPAMPINATO G, BRUNA A R, BATTIATO S, et al. Low cost rototranslational video stabilization algorithm[J]. Journal of Electronic Imaging, 2018, 27(5):1-8.

[10]	BATTIATO S, BRUNA A R, PUGLISI G. A robust block-based image/video registration approach for mobile imaging devices[J]. IEEE Transactions on Multimedia, 2010, 12(7):622-635.

[11]	WANG N M. A new approach for electronic image stabilization based on block matching[C]// Chinese Society for Optical Engineering. Proceedings of the Fourth Seminar on Novel Optoelectronic Detection Technology and Application. Washington: SPIE, 2018:1-7.

[12]	李大成, 杨晓东. 一种基于灰度投影差值的稳像算法[J]. 舰船电子工程, 2017, 37(1):82-84.

[13]	胡常俊, 张著洪. 基于视频抖动的灰度投影稳像算法[J]. 贵州大学学报(自然科学版), 2019, 36(1):82-86.

[14]	SHUKLA D, OJHA A, JHA R K. A new composite multi-constrained differential-radon warping approach for digital video affine motion stabilization[J]. Computer Vision and Image Understanding, 2017, 155:83-105.

[15]	TIAN S Q. An improved elect ronic image stabilization algorithm based on gray projection[J]. DEStech Transactions on Engineering and Technology Research, 2017, 162:143-148.

[16]	HENRIQUES J F, CASEIRO R, MARTINS P, et al. High-speed tracking with kernelized correlation filters[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2014, 37(3):583-596.

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