Title :
The AUV Movement Target Detection Arithmetic Based on LIP Model at Static Background
Author :
Tang Chunrui ; Liu Dandan ; Yanru, S. ; Ling Shuke
Author_Institution :
Coll. of Autom., Harbin Eng. Univ., Harbin, China
Abstract :
It is necessary to achieve underwater moving target detection and tracking by sonar image sequences movement target segmentation. The AUV movement target detection arithmetic based on LIP model at static background is proposed. First of all, illumination segments based on human visual characteristics to sonar image, constructs optical flow equation and make the appropriate simplify the discrete processing to saturation region, Weber area, De Vries area of sonar image, at last, completes movement target detection by estimating the optical flow vector by LUCAS-KANADE method. The experiments show that the method can achieve movement target correct extract at static background.
Keywords :
autonomous underwater vehicles; feature extraction; geophysics computing; image segmentation; image sequences; object detection; oceanographic equipment; oceanographic techniques; sonar imaging; target tracking; AUV underwater movement target detection arithmetic; De Vries area; LIP model; LUCAS-KANADE method; Weber area; human visual characteristics; illumination segmentation; optical flow vector estimation; sonar image sequence tracking; sonar imaging; static background; target segmentation; Automation; Mechatronics; AUV; LIP; light flow method; movement target;
Conference_Titel :
Measuring Technology and Mechatronics Automation (ICMTMA), 2013 Fifth International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4673-5652-7
DOI :
10.1109/ICMTMA.2013.278