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Proceedings Paper

A Pattern Recognition Approach To Image Tracking In Cluttered Sequences
Author(s): David Shrode; Don Van Rheeden; Joel McWilliams; Anthony Reid
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Paper Abstract

The use of an infrared imager in an air-to-ground tracking and guidance application is considered. The application requires tracking certain small distinct hot or cold spots in the presence of other potentially confusing objects. The target spot must be distinguished from the surrounding clutter. A tracking method based on pattern recognition techniques is used. Several approach sequences of IR imagery taken during captive flight were recorded digitally and used for this development. For each approach sequence, the tracker was initialized on a target spot. During each image frame, several feature measurements were made of the target spot. Confusing objects in the tracker search area were also identified, and the same features were measured for each detected clutter object. The target and nontarget feature measurements from all frames of all sequences were used to formulate a two-class pattern recognition problem. The classes were found to be well separated by both linear and quadratic discriminants. When the derived discriminants were used to classify the target spot from nontarget objects, high correct classification probabilities and small false alarm and miss probabilities were obtained. This resulted in more accurate tracking performance, even in scenes containing a high density of confusing clutter objects.

Paper Details

Date Published: 26 September 1989
PDF: 11 pages
Proc. SPIE 1111, Acquisition, Tracking, and Pointing III, (26 September 1989); doi: 10.1117/12.977980
Show Author Affiliations
David Shrode, Texas Instruments (United States)
Don Van Rheeden, Texas Instruments (United States)
Joel McWilliams, Texas Instruments (United States)
Anthony Reid, Texas Instruments (United States)

Published in SPIE Proceedings Vol. 1111:
Acquisition, Tracking, and Pointing III
Sankaran Gowrinathan, Editor(s)

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