A segmentation approach for object detection on highly dynamic aquatic environments

The majority of segmentation methods applied to outdoor environments are not suitable to highly dynamic backgrounds, like in an outdoor swimming pool. This paper presents a new method for image segmentation of objects with a background with random noise generated by water oscillation. The key featur...

Full description

Saved in:
Bibliographic Details
Main Authors: Nuno, P.P., Nuno, C.G., Jorge, C.M., Adriano, T.J., Jose, M.A.
Format: Conference Proceeding
Language:English
Subjects:
Acoustic reflection
Automated video surveillance
Background noise
Color
Colored noise
Image segmentation
Layout
Noise generators
Object detection
Optical reflection
Science & Technology
Working environment noise
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The majority of segmentation methods applied to outdoor environments are not suitable to highly dynamic backgrounds, like in an outdoor swimming pool. This paper presents a new method for image segmentation of objects with a background with random noise generated by water oscillation. The key feature of this segmentation method is based on processing hue component of color in HSV color space on a predetermined image area. This component is not affected by reflections, splashes, random water movements and overall scene light changes on the water surface. Foreground is extracted based on combination of temporal background estimation with spatial correction and inter-frame subtraction. The algorithm was applied and tested in a real situation, specifically on an outdoor domestic pool, showing good robustness and reliability with less computational load.
ISSN:1553-572X
DOI:10.1109/IECON.2009.5414893