
Proceedings Paper
Robust image-domain target tracking and recognition process under heavy urban background clutter conditionsFormat | Member Price | Non-Member Price |
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Paper Abstract
Time-differencing process, with the help of image registration techniques, is useful for image-domain moving target
detection under heavy clutter conditions. Time-differencing between two well-registered image frames can
significantly suppress the heavy static background clutter, and thus improve moving target detection. However, we
may still lose detection of a moving target from time to time under heavy clutter conditions (Pd < 100%), and also
we may lose detection of a moving target when this target stops moving. For example, a moving vehicle will
temporarily stop moving in front of a red light or a stop sign. In general, the performance of a conventional tracking
process depends on the performance of the detection process. In this paper, we present our newly developed image-domain
moving target tracking and process using an adaptive local target correlation tracker. Once we started to
track a target, the correlation tracker can continue to track this target, no matter whether we can still detect this
target in the future image frames or not. Both single and multiple target tracking capabilities using the correlation
tracker have been developed. Furthermore, while continuing to track a moving vehicle, we apply a super-resolution
image enhancement (SRIE) process developed at SAIC [1] to improve the vehicle resolution and signal-to-noise
ratio (SNR) for better automatic target recognition (ATR) or human/pilot-monitored recognition performance.
Paper Details
Date Published: 4 May 2009
PDF: 11 pages
Proc. SPIE 7338, Acquisition, Tracking, Pointing, and Laser Systems Technologies XXIII, 73380M (4 May 2009); doi: 10.1117/12.818231
Published in SPIE Proceedings Vol. 7338:
Acquisition, Tracking, Pointing, and Laser Systems Technologies XXIII
Steven L. Chodos; William E. Thompson, Editor(s)
PDF: 11 pages
Proc. SPIE 7338, Acquisition, Tracking, Pointing, and Laser Systems Technologies XXIII, 73380M (4 May 2009); doi: 10.1117/12.818231
Show Author Affiliations
Hai-Wen Chen, Science Applications International Corp. (United States)
Denis Braunreiter, Science Applications International Corp. (United States)
Published in SPIE Proceedings Vol. 7338:
Acquisition, Tracking, Pointing, and Laser Systems Technologies XXIII
Steven L. Chodos; William E. Thompson, Editor(s)
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