A review on vision-based motion estimation
<|reference_start|>A review on vision-based motion estimation: 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.<|reference_end|>
@article{liu2024a,
    title={A review on vision-based motion estimation},
    author={Hongyi Liu, Haifeng Wang},
    journal={arXiv preprint arXiv:2407.14478},
    year={2024},
    archivePrefix={arXiv},
    eprint={2407.14478},
    primaryClass={cs.CV}
}