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

Lung Chih Kuo, Cheng Chi Tai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (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.

Original languageEnglish
Title of host publicationProceedings - 2020 International Computer Symposium, ICS 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages4
ISBN (Electronic)9781728192550
Publication statusPublished - 2020 Dec
Event2020 International Computer Symposium, ICS 2020 - Tainan, Taiwan
Duration: 2020 Dec 172020 Dec 19

Publication series

NameProceedings - 2020 International Computer Symposium, ICS 2020


Conference2020 International Computer Symposium, ICS 2020

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems
  • Information Systems and Management
  • Computational Mathematics


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