Image analysis – Applications – Target tracking or detecting
Reexamination Certificate
2003-03-28
2008-09-30
Azarian, Seyed (Department: 2624)
Image analysis
Applications
Target tracking or detecting
C382S199000, C348S094000
Reexamination Certificate
active
07430303
ABSTRACT:
A method and system detects candidate targets or objects from a viewed scene by simplifying the data, converting the data to gradient magnitude and direction data which is thresholded to simplify the data. Horizontal edges within the data are softened to reduce their masking of adjacent non-horizontal features. One or more target boxes are stepped across the image data and the number of directions of gradient direction data within the box is used to determine the presence of a target. Atmospheric attenuation is compensated. The thresholding used in one embodiment compares the gradient magnitude data to a localized threshold calculated from the local variance of the image gradient magnitude data. Imagery subsets are containing the candidate targets may then be used to detect and identify features and apply a classifier function to screen candidate detections and determine a likely target.
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Lee Harry C.
Olson Teresa L.
Sefcik Jason
Azarian Seyed
Lockheed Martin Corporation
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