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Proceedings Paper

Wide-area feature-aided tracking with intermittent multi-sensor data
Author(s): Craig Carthel; Stefano Coraluppi; Karna Bryan; Gianfranco Arcieri
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Paper Abstract

This paper addresses multi-sensor surveillance where some sensors provide intermittent, feature-rich information. Effective exploitation of this information in a multi-hypothesis tracking context requires computationally-intractable processing with deep hypothesis trees. This report introduces two approaches to address this problem, and compares these to single-stage, track-while-fuse processing. The first is a track-before-fuse approach that provides computational efficiency at the cost of reduced track continuity; the second is a track-break-fuse approach that is computationally efficient without sacrificing track continuity. Simulation and sea trial results are provided.

Paper Details

Date Published: 15 April 2010
PDF: 12 pages
Proc. SPIE 7698, Signal and Data Processing of Small Targets 2010, 76981B (15 April 2010); doi: 10.1117/12.855711
Show Author Affiliations
Craig Carthel, NATO Undersea Research Ctr. (Italy)
Stefano Coraluppi, NATO Undersea Research Ctr. (Italy)
Karna Bryan, NATO Undersea Research Ctr. (Italy)
Gianfranco Arcieri, NATO Undersea Research Ctr. (Italy)

Published in SPIE Proceedings Vol. 7698:
Signal and Data Processing of Small Targets 2010
Oliver E. Drummond, Editor(s)

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