Target tracking based on spatio-temporal fractal error

Brian S. Allen

doi:10.1117/12.718633

7 May 2007 Target tracking based on spatio-temporal fractal error

Brian S. Allen

Proceedings Volume 6569, Acquisition, Tracking, Pointing, and Laser Systems Technologies XXI; 65690B (2007) https://doi.org/10.1117/12.718633
Event: Defense and Security Symposium, 2007, Orlando, Florida, United States

Abstract

This paper presents a novel approach to target tracking using a measurement process based on spatio-temporal fractal error. Moving targets are automatically detected using one-dimensional temporal fractal error. A template derived from the two-dimensional spatial fractal error is then extracted for a designated target to allow for correlation-based template matching in subsequent frames. The outputs of both the spatial and temporal fractal error components are combined and presented as input to a kinematic tracking filter. It is shown that combining the two outputs provides improved tracking performance in the presence of noise, occlusion, other moving objects, and when the target of interest stops moving. Furthermore, reconciliation of the spatial and temporal components also provides a useful mechanism for detecting occlusion and avoiding template drift, a problem typically present in correlation-based trackers. Results are demonstrated using airborne MWIR sequences from the DARPA VIVID dataset.

Citation Download Citation

Brian S. Allen "Target tracking based on spatio-temporal fractal error", Proc. SPIE 6569, Acquisition, Tracking, Pointing, and Laser Systems Technologies XXI, 65690B (7 May 2007); https://doi.org/10.1117/12.718633

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