DocumentCode
3481300
Title
A robust visual attention system for detecting manufactured objects in underwater video
Author
Barat, Christian ; Rendas, Maria-João
Author_Institution
Nice Univ., Sophia Antipolis
fYear
2006
fDate
18-21 Sept. 2006
Firstpage
1
Lastpage
6
Abstract
The paper presents an approach to detect objects in underwater images. The method is composed of two main steps. The first step detects the motion of contrasting neighboring regions in consecutive frames, based on the Minimum Description Length test. The second step adapts a statistical snake to the boundary between the adjacent regions. The method is evaluated on real images and compared to classical snakes
Keywords
object detection; object recognition; oceanographic techniques; underwater optics; video signal processing; Minimum Description Length test; consecutive frames; neighbouring regions motion; objects detection; robust visual attention system; statistical snake; underwater images; underwater video; Image edge detection; Lighting; Manufacturing; Motion detection; Object detection; Robots; Robustness; Testing; Underwater tracking; Working environment noise;
fLanguage
English
Publisher
ieee
Conference_Titel
OCEANS 2006
Conference_Location
Boston, MA
Print_ISBN
1-4244-0114-3
Electronic_ISBN
1-4244-0115-1
Type
conf
DOI
10.1109/OCEANS.2006.306810
Filename
4098965
Link To Document