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 :
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