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Proceedings Paper

Detection and tracking of small targets in aerial image sequences under unknown sensor motion
Author(s): Thomas Fechner; Rainer Hach; Oliver Rockinger; Andreas Stenger; Peter Knappe; Christoph Stahl
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Paper Abstract

Automatic Target Recognition is typically based on single frame image processing. In this paper we report about our work in improving ATR performance by the exploitation of image sequences using a combination of target detection and tracking. The proposed detection/tracking system consists of three subsystems: (1) the target detection module which is based on a combination of multiresolution neural network target filters which are combined by a probabilistic belief network; (2) the sensor motion compensation system which generates a dense velocity field over the actual image frame, thus estimating the effect of the unknown sensor platform motion in image coordinates and (3) a multi-target-tracker which associates existing target tracks with new observations. By the hand of real world examples we show that the combined detection/tracking method overcomes the problem of spurious false alarms generated by the single frame target detector.

Paper Details

Date Published: 17 July 1998
PDF: 8 pages
Proc. SPIE 3374, Signal Processing, Sensor Fusion, and Target Recognition VII, (17 July 1998); doi: 10.1117/12.327102
Show Author Affiliations
Thomas Fechner, Daimler-Benz AG (Germany)
Rainer Hach, Daimler-Benz AG (Germany)
Oliver Rockinger, Daimler-Benz AG (Germany)
Andreas Stenger, Daimler-Benz AG (Germany)
Peter Knappe, Daimler-Benz Aerospace AG (Germany)
Christoph Stahl, Daimler-Benz Aerospace AG (Germany)


Published in SPIE Proceedings Vol. 3374:
Signal Processing, Sensor Fusion, and Target Recognition VII
Ivan Kadar, Editor(s)

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