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2004

Reducing False Alarms Using Genetic Programming in Object Detection

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Reducing False Alarms Using Genetic Programming in Object Detection
: This paper describes a refinement of an approach to locating objects in complex images with the objective of reducing the false alarm rate. The method uses genetic programming to evolve a detector using a threshold for defining an unclassified region. It is envisaged that incorporating a threshold during training will encourage programs to produce a high output when the object has been located. The objects required to be located are two difficult cephalometric landmarks that are either ambiguous in nature or located in a cluttered background. Results suggest that while increasing the threshold reduces the false alarm rate, it is to the detriment of the detection rate.
Andrew Innes, Victor Ciesielski, John Mamutil, Sab
Added 31 Oct 2010
Updated 31 Oct 2010
Type Conference
Year 2004
Where ICAI
Authors Andrew Innes, Victor Ciesielski, John Mamutil, Sabu John
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