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Proceedings Paper

VNIR data processing of small (human) targets
Author(s): Dalton Rosario
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Paper Abstract

We demonstrate that human skin biometrics in the visible to near infrared (VNIR) regime can be used as reliable features in a multistage human target tracking algorithm suite. We collected outdoor VNIR hyperspectral data of human skin, consisting of two human subjects of different skin types in the Fitzpatrick Scale (Type I [Very Fair] and Type III [White to Olive]), standing side by side at seven ranges (50 ft to 370 ft) in a suburban background. At some of these ranges, the subjects fall under the small target category. We propose a three-step approach: Step 1, reflectance retrieval; Step 2, exploitation of absorption wavelength line at 577 nanometers, due to oxygenated hemoglobin in blood near the surface of skin; and Step 3, matched filtering on candidate patches in the input imagery that successfully passed Step 2, using as input all of the available bands in a spectral average representation of human skin. Step-3 functionality is only applied to patches in the imagery showing evidence of human skin (Step 2 output). Regardless of the targets' kinematic states, the approach produced some excellent results locating the presence of human skin in the example dataset, yielding zero false alarms from potential confusers in the scene. The approach is expected to function as the focus of attention stage of a multistage algorithm suite for human target tracking.

Paper Details

Date Published: 15 May 2012
PDF: 8 pages
Proc. SPIE 8393, Signal and Data Processing of Small Targets 2012, 839306 (15 May 2012); doi: 10.1117/12.918357
Show Author Affiliations
Dalton Rosario, U.S. Army Research Lab. (United States)

Published in SPIE Proceedings Vol. 8393:
Signal and Data Processing of Small Targets 2012
Oliver E. Drummond; Richard D. Teichgraeber, Editor(s)

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