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http://dx.doi.org/10.9708/jksci.2010.15.2.055

A Face Detection Method Based on Adaboost Algorithm using New Free Rectangle Feature  

Hong, Yong-Hee (숭실대학교 전자공학부)
Han, Young-Joon (숭실대학교 전자공학부)
Hahn, Hern-Soo (숭실대학교 전자공학부)
Publication Information
Journal of the Korea Society of Computer and Information / v.15, no.2, 2010 , pp. 55-64 More about this Journal
Abstract
This paper proposes a face detection method using Free Rectangle feature which possesses a quick execution time and a high efficiency. The proposed mask of Free Rectangle feature is composed of two separable rectangles with the same area. In order to increase the feature diversity, Haar-like feature generally uses a complex mask composed of two or more rectangles. But the proposed feature mask can get a lot of very efficient features according to any position and scale of two rectangles on the feature window. Moreover, the Free Rectangle feature can largely reduce the execution time since it is defined as the only difference of the sum of pixels of two rectangles irrespective of the mask type. Since it yields a quick detection speed and good detection rates on real world images, the proposed face detection method based on Adaboost algorithm is easily applied to detect another object by changing the training dataset.
Keywords
Face Detection; Free Rectangle Feature; Haar-like Feature; Adaboost Algorithm;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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