Fusion of image data for beyond-the-fence intruder detection and assessment.

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The use of combined imagery from different imaging sensors has the potential to provide significant performance improvements over the use of a single image sensor for beyond-the-fence detection and assessment of intruders. Sensing beyond the fence is very challenging for imagers due to uncertain dynamic and harsh environmental conditions. The use of imagery from varying spectral bands can alleviate some of this difficulty by providing stronger truth data that can be combined with truth data from other spectral bands to increase detection capabilities. Imagery fusion of collocated, aligned sensors covering varying spectral bands [1,2,3] has already been shown to improve ... continued below

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25 p.

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Nelson, Cynthia Lee September 1, 2007.

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Description

The use of combined imagery from different imaging sensors has the potential to provide significant performance improvements over the use of a single image sensor for beyond-the-fence detection and assessment of intruders. Sensing beyond the fence is very challenging for imagers due to uncertain dynamic and harsh environmental conditions. The use of imagery from varying spectral bands can alleviate some of this difficulty by providing stronger truth data that can be combined with truth data from other spectral bands to increase detection capabilities. Imagery fusion of collocated, aligned sensors covering varying spectral bands [1,2,3] has already been shown to improve the probability of detection and the reduction of nuisance alarms. The development of new multi-spectral sensing algorithms that incorporate sensors that are not collocated will enable automated sensor-based detection, assessment, localization, and tracking in harsh dynamic environments. This level of image fusion will provide the capability of creating spatial information about the intruders. In turn, the fidelity of sensed activities is increased resulting in opportunities for greater system intelligence for inferring and interpreting these activities and formulating automated responses. The goal of this work is to develop algorithms that will enable the fusion of multi-spectral data for improved detection of intruders and the creation of spatial information that can be further used in assessment decisions.

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25 p.

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  • Report No.: SAND2007-5869
  • Grant Number: AC04-94AL85000
  • DOI: 10.2172/920447 | External Link
  • Office of Scientific & Technical Information Report Number: 920447
  • Archival Resource Key: ark:/67531/metadc900448

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Office of Scientific & Technical Information Technical Reports

Reports, articles and other documents harvested from the Office of Scientific and Technical Information.

Office of Scientific and Technical Information (OSTI) is the Department of Energy (DOE) office that collects, preserves, and disseminates DOE-sponsored research and development (R&D) results that are the outcomes of R&D projects or other funded activities at DOE labs and facilities nationwide and grantees at universities and other institutions.

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  • September 1, 2007

Added to The UNT Digital Library

  • Sept. 27, 2016, 1:39 a.m.

Description Last Updated

  • Dec. 7, 2016, 2:56 p.m.

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Nelson, Cynthia Lee. Fusion of image data for beyond-the-fence intruder detection and assessment., report, September 1, 2007; United States. (digital.library.unt.edu/ark:/67531/metadc900448/: accessed October 20, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.