DocumentCode
256759
Title
The Sonar Image Sequence Movement Target Detection Based on Surfacelet Transform at Complex Background
Author
Chunrui Tang ; Dandan Liu ; Ao Li
Author_Institution
Coll. of Autom., Harbin Eng. Univ., Harbin, China
Volume
2
fYear
2014
fDate
26-27 Aug. 2014
Firstpage
249
Lastpage
252
Abstract
In order to realize movement target detection and tracking, the sonar image sequence movement target detection based on Surfacelet transform at complex background is proposed. Firstly, sonar image characteristic area extract based on Surfacelet transform, secondly, extract characteristic quantities and confirm correspondence between frames of characteristic quantities, at last, calculate motion parameters and put into motion model to estimate the entire image motion vectors, and complete the moving object detection. The experiments show that the method can complete to extract movement targets correctly.
Keywords
image sequences; object detection; sonar detection; sonar imaging; image motion vectors; motion model; motion parameters; moving object detection; sonar image sequence movement target detection; surfacelet transform; Adaptive optics; Image sequences; Object detection; Optical imaging; Sonar detection; Transforms; AUV; Surfacelet transform; motion vectors; movement target;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2014 Sixth International Conference on
Conference_Location
Hangzhou
Print_ISBN
978-1-4799-4956-4
Type
conf
DOI
10.1109/IHMSC.2014.162
Filename
6911493
Link To Document