DocumentCode
567744
Title
Object tracking with imaging sonar
Author
Krout, David W. ; Kooiman, William ; Okopal, Greg ; Hanusa, Evan
Author_Institution
Appl. Phys. Lab., Univ. of Washington, Seattle, WA, USA
fYear
2012
fDate
9-12 July 2012
Firstpage
2400
Lastpage
2405
Abstract
Recently a data set was collected using an imaging sonar of a non-stationary underwater object. This paper presents the image processing algorithms as well as the tracking algorithms used to take the imaging sonar data and track a non-stationary underwater extended object. The tracking results will be presented in a geo-referenced image frame with the use of GPS and inertial sensors. Future work with this data set will include feature extraction and object classification using the imaging sonar data.
Keywords
Global Positioning System; inertial systems; object tracking; radar tracking; sonar imaging; target tracking; GPS; georeferenced image frame; image processing algorithms; imaging sonar data; inertial sensors; nonstationary underwater extended object; nonstationary underwater object; object tracking; tracking algorithms; Educational institutions; Image processing; Imaging; Kalman filters; Noise; Sonar measurements;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Fusion (FUSION), 2012 15th International Conference on
Conference_Location
Singapore
Print_ISBN
978-1-4673-0417-7
Electronic_ISBN
978-0-9824438-4-2
Type
conf
Filename
6290595
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