Title
Water Video Analysis
Abstract
Many image processing and computer vision applications have difficulty dealing with a nonstatic background such as water waves, but this particular dynamic scene actually contains enough information to reveal much more than a static scene. In this paper, we propose a method to determine real world scale as well as other factors, including wave height, sea state, and wind speed, from uncalibrated water video. We do this by using low level image processing tools to extract a spatial frequency spectrum from individual frames of the video and temporal frequencies from the time dimension of the video, and applying known physics of water waves to find the high level properties of the scene. An example is presented to demonstrate and validate the process. © 2004 IEEE.
Publication Date
12-1-2004
Publication Title
Proceedings - International Conference on Image Processing, ICIP
Volume
4
Number of Pages
2705-2708
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/ICIP.2004.1421662
Copyright Status
Unknown
Socpus ID
20444468093 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/20444468093
STARS Citation
Spencer, Lisa and Shah, Mubarak, "Water Video Analysis" (2004). Scopus Export 2000s. 4862.
https://stars.library.ucf.edu/scopus2000/4862