Visual target tracking in the presence of unknown observer motion

Stephen Williams; Thomas Lu

doi:10.1117/12.820952

13 April 2009 Visual target tracking in the presence of unknown observer motion

Stephen Williams, Thomas Lu

Proceedings Volume 7340, Optical Pattern Recognition XX; 73400F (2009) https://doi.org/10.1117/12.820952
Event: SPIE Defense, Security, and Sensing, 2009, Orlando, Florida, United States

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.

Citation Download Citation

Stephen Williams and Thomas Lu "Visual target tracking in the presence of unknown observer motion", Proc. SPIE 7340, Optical Pattern Recognition XX, 73400F (13 April 2009); https://doi.org/10.1117/12.820952

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available