Weimin Chen
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Weimin Chen has a total of 5 co-authors. Here are the top co-authors by number of shared publications:
- Bin Chen
Zhejiang Engineering Research Center of Intelligent Urban Infrastructure, Hangzhou City University, Hangzhou 310015, China
1 shared publication - He Zhang
College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China
1 shared publication - Tao Jin
School of Engineering, Hangzhou City University, Hangzhou 310015, China
1 shared publication - Wen Zhang
College of Civil Engineering, Zhejiang University of Technology, Hangzhou 310014, China
1 shared publication - Yizhou Zhuang
College of Civil Engineering, Zhejiang University of Technology, Hangzhou 310014, China
1 shared publication
Latest Publications
- Top Cited PapersOpen Access
A Review of Computer Vision-Based Structural Deformation Monitoring in Field Environments
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.
Top Cited PapersOpen AccessA Review of Computer Vision-Based Structural Deformation Monitoring in Field Environments
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.