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This is the preliminary program for the 2007 Joint Statistical Meetings in Salt Lake City, Utah.

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Activity Number: 343
Type: Contributed
Date/Time: Tuesday, July 31, 2007 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistics and the Environment
Abstract - #309539
Title: Multivariate Statistical Methods Applied to Digital Photo Processing in Support of Object Detection
Author(s): Huixing He*+ and Cecil Hallum
Companies: Sam Houston State University and Sam Houston State University
Address: 819 15th Street Apt 15, Huntsville, TX, 77340,
Keywords: multivariate ; detection ; image ; digitize ; object
Abstract:

Retrieving and assessing the information contained in digital image requires more efficient analyses methods. In this study, we develop a capability to permit a "slicing and dicing" of digital images to permit digitizing selected scenes and for conducting specific multivariate analyses in support of the detection of "sought-after" objects. Information enhancements/improvements are investigated in support of detecting "sought-after" objects with emphasis being given to digital images as the primary data source. This is particularly useful when doing automated searching through numerous digital images for objects that, for example, could lead to the discovery of a body, for assessing the impact due to episodic events (e.g., hurricanes, tornadoes, etc.) or highly "sought-after" items by law enforcement or by Homeland Security.


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Revised September, 2007