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Proceedings Paper

Visual target tracking in the presence of unknown observer motion
Author(s): Stephen Williams; Thomas Lu
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Paper Abstract

Much attention has been given to the visual tracking problem due to its obvious uses in military surveillance. However, visual tracking is complicated by the presence of motion of the observer in addition to the target motion, especially when the image changes caused by the observer motion are large compared to those caused by the target motion. A method is presented for estimating the motion of the observer based on image registration techniques and Kalman filtering. With the effects of the observer motion removed, an additional phase is implemented to track individual targets. This method is demonstrated on an image stream from a buoy-mounted or periscope-mounted camera, where large inter-frame displacements are present due to the wave action on the camera. This system has been shown to be effective at tracking and predicting the global position of a planar vehicle (boat) being observed from a single, out-of-plane camera. Finally, the tracking system has been extended to a multi-target scenario.

Paper Details

Date Published: 13 April 2009
PDF: 10 pages
Proc. SPIE 7340, Optical Pattern Recognition XX, 73400F (13 April 2009); doi: 10.1117/12.820952
Show Author Affiliations
Stephen Williams, Georgia Institute of Technology (United States)
Thomas Lu, Jet Propulsion Lab. (United States)


Published in SPIE Proceedings Vol. 7340:
Optical Pattern Recognition XX
David P. Casasent; Tien-Hsin Chao, Editor(s)

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