A review on vision-based motion estimation

• URL: http://arxiv.org/abs/2407.14478v1
• Date: Fri, 19 Jul 2024 17:28:49 GMT
• Title: A review on vision-based motion estimation
• Authors: Hongyi Liu, Haifeng Wang,
• Abstract summary: Compared to contact sensors-based motion measurement, vision-based motion measurement has advantages of low cost and high efficiency. This paper provides a review on existing motion measurement methods. To address issue, we developed the Gaussian kernel-based motion measurement method.
• Score: 18.979649159405962
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• 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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