Title :
Video recognition of breaking waves
Author :
Rusch, Christian ; Thomson, J. ; Zippel, S. ; Schwendeman, M.
Author_Institution :
Appl. Phys. Lab., Univ. of Washington, Seattle, WA, USA
Abstract :
An algorithm is presented to automate the identification of breaking waves in images collected with a camera on a drifting buoy. Each image is given a score from four separate analysis techniques: brightness detection, pixel histogram, entropy (texture) analysis, and glare identification. By combining these in a composite score, potential breaking wave images are detected and the number of images requiring manual review is a small fraction of the original set. Most of the images with false breaking wave signals due to sun glare are identified and removed. The final output is the wave-breaking rate over the length of the video capture.
Keywords :
entropy; ocean waves; oceanographic techniques; analysis technique; breaking wave identification automation; breaking wave video recognition; brightness detection; composite score; drifting buoy; entropy analysis; false breaking wave signal; glare identification; image manual review number; pixel histogram; potential breaking wave image detection; sun glare; video capture length; wave-breaking rate final output; Algorithm design and analysis; Cameras; Heuristic algorithms; Histograms; MATLAB; Manuals; Vectors; Wave-breaking; image processing;
Conference_Titel :
Oceans - St. John's, 2014
Conference_Location :
St. John´s, NL
Print_ISBN :
978-1-4799-4920-5
DOI :
10.1109/OCEANS.2014.7002994
