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Proceedings Paper

Target tracking based on spatio-temporal fractal error
Author(s): Brian S. Allen
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Paper 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.

Paper Details

Date Published: 7 May 2007
PDF: 12 pages
Proc. SPIE 6569, Acquisition, Tracking, Pointing, and Laser Systems Technologies XXI, 65690B (7 May 2007); doi: 10.1117/12.718633
Show Author Affiliations
Brian S. Allen, L-3 Communications Cincinnati Electronics (United States)


Published in SPIE Proceedings Vol. 6569:
Acquisition, Tracking, Pointing, and Laser Systems Technologies XXI
Steven L. Chodos; William E. Thompson, Editor(s)

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