Proceedings Paper
Context aided tracking in aerial video surveillance| Format | Member Price | Non-Member Price |
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Paper Abstract
This research investigates the impact of scene context knowledge on tracking vehicles in an urban environment
based on video image change detection. The scene context consists of knowledge of the road network and
3D building properties. Airborne sensor position information relative to a 3D model of the context enables
calculation of building occlusions of ground locations. From this context, probability of detection maps that
include regions of interest and smoothed lines-of-sight are developed that assist the change detection algorithm
in reducing false alarms.
Paper Details
Date Published: 16 April 2008
PDF: 12 pages
Proc. SPIE 6969, Signal and Data Processing of Small Targets 2008, 696914 (16 April 2008); doi: 10.1117/12.777238
Published in SPIE Proceedings Vol. 6969:
Signal and Data Processing of Small Targets 2008
Oliver E. Drummond, Editor(s)
PDF: 12 pages
Proc. SPIE 6969, Signal and Data Processing of Small Targets 2008, 696914 (16 April 2008); doi: 10.1117/12.777238
Show Author Affiliations
Scott J. Pierce, Air Force Institute of Technology (United States)
Juan R. Vasquez, Numerica Corp. (United States)
Published in SPIE Proceedings Vol. 6969:
Signal and Data Processing of Small Targets 2008
Oliver E. Drummond, Editor(s)
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