Computer vision-based structural deformation monitoring techniques were studied in a
large number of applications in the field of structural health monitoring (SHM). Numerous laboratory tests and short-term field applications contributed to the formation of the basic framework
of computer vision deformation monitoring systems towards developing long-term stable monitoring in field environments. The major contribution of this paper was to analyze the influence
mechanism of the measuring accuracy of computer vision deformation monitoring systems from two
perspectives, the physical impact, and target tracking algorithm impact, and provide the existing
solutions. Physical impact included the hardware impact and the environmental impact, while the
target tracking algorithm impact included image preprocessing, measurement efficiency and accuracy.
The applicability and limitations of computer vision monitoring algorithms were summarized.