Implementation of Inverse Perspective Mapping for Camera-Vision Water-Level Measurements

Lung Chih Kuo, Cheng Chi Tai

研究成果: Conference contribution

3 引文 斯高帕斯(Scopus)


To prevent floods from endangering lives and property, surveillance cameras are widely used in places prone to floods, such as low-lying areas and rivers, to monitor water levels during typhoons. Recently, with the advancement of surveillance camera technologies, surveillance cameras have been widely applied to automatically measure water levels. In this study, an embedded system based on a single camera is proposed, where camera images are used to measure water levels. Digital image processing is used to identify the current water level from an image of the on-site staff gauge. The fact that the camera position typically results in a non-orthogonal angle between the camera's optical axis and the staff gauge plane on-site was taken into consideration due to the fact that it causes perspective distortion and leads to deviations in water level measurements. In this study, the inverse perspective mapping (IPM) method was applied in the system to overcome this problem. Using IPM to transform the coordinate system of images from one perspective plane to another rectified the perspective distortion. To simplify the image processing of every input frame, only the region of interest (ROI) underwent IPM transformation during the water level calculation in order to improve the system operating performance. The experimental results proved that the water level measurement system using the IPM method effectively reduced measurement deviations for confined space applications and effectively tracked real-world water level changes.

主出版物標題Proceedings - 2020 International Computer Symposium, ICS 2020
發行者Institute of Electrical and Electronics Engineers Inc.
出版狀態Published - 2020 12月
事件2020 International Computer Symposium, ICS 2020 - Tainan, Taiwan
持續時間: 2020 12月 172020 12月 19


名字Proceedings - 2020 International Computer Symposium, ICS 2020


Conference2020 International Computer Symposium, ICS 2020

All Science Journal Classification (ASJC) codes

  • 人工智慧
  • 電腦網路與通信
  • 電腦科學應用
  • 資訊系統
  • 資訊系統與管理
  • 計算數學


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