Feature analysis on river flow video data for floating tracers detection

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 riv...

Full description

Saved in:
Bibliographic Details
Published in2014 IEEE International Conference on Imaging Systems and Techniques (IST) Proceedings pp. 287 - 292
Main Authors Pentari, Anastasia, Moirogiorgou, Konstantia, Livanos, George, Iliopoulou, Dimitra, Zervakis, Michalis
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2014
Subjects
environmental monitoring
Floods
Histograms
hue and intensity analysis
Image color analysis
Motion estimation
river suspended sediment distribution
Rivers
Sediments
Vectors
Online AccessGet full text

Cover

More Information
Summary: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.
ISSN:1558-2809
2832-4242
DOI:10.1109/IST.2014.6958490