Title :
Feature analysis on river flow video data for floating tracers detection
Author :
Pentari, Anastasia ; Moirogiorgou, Konstantia ; Livanos, George ; Iliopoulou, Dimitra ; Zervakis, M.
Author_Institution :
Electron. & Comput. Eng., TUC, Chania, Greece
Abstract :
This study focuses on a significant water quality problem that can be posed as the calculation of the distribution of suspended sediments in rivers. More specifically, we propose a method that performs tracking and motion estimation on river floating sediment tracers. The current work analyzes a river flow video sequence and isolates the sediment information in order to determine the temporal extend of the suspended sediment distribution. The method is based on a combination of image processing techniques and is performed through hue and intensity analysis. The results present the river sediment tracers isolated from the river water flow and the river background as well as the river floating tracers velocity vector field.
Keywords :
environmental science computing; feature extraction; image sequences; motion estimation; rivers; sediments; video signal processing; feature analysis; floating tracers detection; hue analysis; image processing techniques; intensity analysis; motion estimation; river background; river floating sediment tracers; river floating tracers velocity vector field; river flow video data; river flow video sequence; river sediment tracers; river water flow; suspended sediment distribution; suspended sediments; water quality problem; Floods; Histograms; Image color analysis; Motion estimation; Rivers; Sediments; Vectors; environmental monitoring; hue and intensity analysis; river suspended sediment distribution;
Conference_Titel :
Imaging Systems and Techniques (IST), 2014 IEEE International Conference on
Conference_Location :
Santorini
DOI :
10.1109/IST.2014.6958490