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Proceedings Paper

Tracking of low-observable small targets against clutter
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Paper Abstract

Detection and tracking of low-observable moving targets against heavy clutter in a sequence of infrared images is an important research area. The focus of research in this area is to reliably pick up the most potential targets, track the targets with varying speed and direction, and at the same time reduce the false alarm rate to an acceptable level. However, there is no single method that works equally well in all situations. This paper presents an integrated algorithm based on area-correlation tracker (ACT) and Kalman filter for improving ACT performance for targets with varying speed and direction. Divergence and loss of target when the target is stationary are the two typical problems associated with ACT. In our algorithm, we propose to overcome these shortcomings by introducing an online procedure for updating (or not updating in the case of occlusions) the reference template, in conjunction with linear predictions by using a Kalman filter.

Paper Details

Date Published: 26 November 2001
PDF: 7 pages
Proc. SPIE 4473, Signal and Data Processing of Small Targets 2001, (26 November 2001); doi: 10.1117/12.492755
Show Author Affiliations
Louis Shue, Nanyang Technological Univ. (Singapore)
Ronda Venkateswarlu, Nanyang Technological Univ. (Singapore)
Eng Thiam Lim, Nanyang Technological Univ. (Singapore)


Published in SPIE Proceedings Vol. 4473:
Signal and Data Processing of Small Targets 2001
Oliver E. Drummond, Editor(s)

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