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
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;
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
