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Signal, Image and Video Processing

, Volume 13, Issue 7, pp 1303–1310 | Cite as

Robust optical flow estimation based on wavelet

  • Jia Zheng
  • Hongyan WangEmail author
  • Bingnan Pei
Original Paper
  • 70 Downloads

Abstract

Concentrating on the issue that the systematic error caused by variation of illumination conditions and sensor noise leads to poor robustness and low accuracy of optical flow calculation, based on the wavelet multi-resolution theory, a robust optical flow estimation method is developed in this paper. With the multi-resolution characteristics of wavelet, the systematic error is incorporated into the calculation of optical flow to improve the robustness and estimation accuracy. In what follows, the total least squares method can be exploited to solve the obtained overdetermined wavelet optical flow equations such that the optical flow vector can be achieved. As compared to the traditional Lucas–Kanade approach, Horn–Schunck method, and the optical flow estimation algorithm in omnidirectional images using wavelet approach, simulation results show that the proposed algorithm can significantly improve the accuracy of optical flow estimation and the robustness of the optical flow field.

Keywords

Optical flow Wavelet multi-resolution Systematic error Total least squares (TLS) Robustness 

Notes

Acknowledgements

This work is partially supported by the National Natural Science Foundation of China under Grant 61301258 and China Postdoctoral Science Foundation Funded Project under Grant No. 2016M590218.

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Copyright information

© Springer-Verlag London Ltd., part of Springer Nature 2019

Authors and Affiliations

  1. 1.Liaoning Engineering Laboratory of BeiDou High-Precision Location ServiceDalian UniversityDalianChina
  2. 2.Dalian Key Laboratory of Environmental Perception and Intelligent ControlDalian UniversityDalianChina

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