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Proceedings Paper

Efficient object tracking in WAAS data streams
Author(s): Trevor R. H. Clarke; Roxanne Canosa
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Paper Abstract

Wide area airborne surveillance (WAAS) systems are a new class of remote sensing imagers which have many military and civilian applications. These systems are characterized by long loiter times (extended imaging time over fixed target areas) and large footprint target areas. These characteristics complicate moving object detection and tracking due to the large image size and high number of moving objects. This research evaluates existing object detection and tracking algorithms withWAAS data and provides enhancements to the processing chain which decrease processing time and maintain or increase tracking accuracy. Decreases in processing time are needed to perform real-time or near real-time tracking either on the WAAS sensor platform or in ground station processing centers. Increased tracking accuracy benefits real-time users and forensic (off-line) users.

Paper Details

Date Published: 2 February 2011
PDF: 9 pages
Proc. SPIE 7871, Real-Time Image and Video Processing 2011, 78710L (2 February 2011); doi: 10.1117/12.872355
Show Author Affiliations
Trevor R. H. Clarke, Ball Aerospace & Technologies Corp. (United States)
Roxanne Canosa, Rochester Institute of Technology (United States)


Published in SPIE Proceedings Vol. 7871:
Real-Time Image and Video Processing 2011
Nasser Kehtarnavaz; Matthias F. Carlsohn, Editor(s)

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