Flexible Computing Architecture for Real-Time Skin Detection

In both the Air Force and search and rescue (SAR) communities, there is a need to detect and characterize persons. Existing methods use red-green-blue (RGB) imagery, but produce high false alarm rates. New technology in multispectral skin detection is better than the existing RGB methods, but lacks a control and processing architecture to make them efficient for real-time problems. A number of applications require accurate detection and characterization of persons, human measurement and signature intelligence (H-MASINT), and SAR in particular. H-MASINT requires it for the detection of persons in images so other processing can be performed. It is useful in the SAR community as a method of finding persons partly obscured, in remote regions, and either living or deceased.