Paper
4 May 2009 Automatic cuing of human-in-the-loop detection system
Author Affiliations +
Abstract
Rapid detection of landmines and explosive hazards is a critical issue for modern military operations. Due to the varied nature of the objects of interest and the complexity of the surrounding, one approach is to utilize the superior recognition capabilities of the human brain in the detection process. We are developing frameworks and algorithms to fuse image data from multiple sources and to provide cuing capability for a human-in-the-loop detection system.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
James M. Keller, Kevin E. Stone, Dominic K. C. Ho, and Mihail Popescu "Automatic cuing of human-in-the-loop detection system", Proc. SPIE 7303, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XIV, 73032C (4 May 2009); https://doi.org/10.1117/12.820365
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Roads

Image segmentation

Cameras

RGB color model

Video

Motion estimation

Fourier transforms

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