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arXiv · 2407.14478

A review on vision-based motion estimation

Hongyi Liu·Haifeng Wang
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Abstract

Compared to contact sensors-based motion measurement, vision-based motion measurement has advantages of low cost and high efficiency and have been under active development in the past decades. This paper provides a review on existing motion measurement methods. In addition to the development of each branch of vision-based motion measurement methods, this paper also discussed the advantages and disadvantages of existing methods. Based on this discussion, it was identified that existing methods have a common limitation in optimally balancing accuracy and robustness. To address issue, we developed the Gaussian kernel-based motion measurement method. Preliminary study shows that the developed method can achieve high accuracy on simple synthesized images.

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Hongyi Liu, Haifeng Wang. 2024-07-19. A review on vision-based motion estimation. https://arxiv.org/abs/2407.14478

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