
Proceedings Paper
A multistage framework for dismount spectral verification in the VNIRFormat | Member Price | Non-Member Price |
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Paper Abstract
A multistage algorithm suite is proposed for a specific target detection/verification scenario, where a visible/near
infrared hyperspectral (HS) sample is assumed to be available as the only cue from a reference image frame. The target
is a suspicious dismount. The suite first applies a biometric based human skin detector to focus the attention of the
search. Using as reference all of the bands in the spectral cue, the suite follows with a Bayesian Lasso inference stage
designed to isolate pixels representing the specific material type cued by the user and worn by the human target (e.g.,
hat, jacket). In essence, the search focuses on testing material types near skin pixels. The third stage imposes an
additional constraint through RGB color quantization and distance metric checking, limiting even further the search for
material types in the scene having visible color similar to the target visible color. Using the proposed cumulative
evidence strategy produced some encouraging range-invariant results on real HS imagery, dramatically reducing to zero
the false alarm rate on the example dataset. These results were in contrast to the results independently produced by each
one of the suite’s stages, as the spatial areas of each stage’s high false alarm outcome were mutually exclusive in the
imagery. These conclusions also apply to results produced by other standard methods, in particular the kernel SVDD
(support vector data description) and matched filter, as shown in the paper.
Paper Details
Date Published: 18 May 2013
PDF: 11 pages
Proc. SPIE 8743, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIX, 87430E (18 May 2013); doi: 10.1117/12.2015411
Published in SPIE Proceedings Vol. 8743:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIX
Sylvia S. Shen; Paul E. Lewis, Editor(s)
PDF: 11 pages
Proc. SPIE 8743, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIX, 87430E (18 May 2013); doi: 10.1117/12.2015411
Show Author Affiliations
Dalton Rosario, U.S. Army Research Lab. (United States)
Published in SPIE Proceedings Vol. 8743:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIX
Sylvia S. Shen; Paul E. Lewis, Editor(s)
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