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http://dx.doi.org/10.9717/kmms.2015.18.5.610

Face Tracking System Using Updated Skin Color  

Ahn, Kyung-Hee (Dept. of Computer Engineering, Inje University)
Kim, Jong-Ho (Dept. of Computer Engineering, Inje University)
Publication Information
Journal of Korea Multimedia Society / v.18, no.5, 2015 , pp. 610-619 More about this Journal
Abstract
*In this paper, we propose a real-time face tracking system using an adaptive face detector and a tracking algorithm. An image is divided into the regions of background and face candidate by a real-time updated skin color identifying system in order to accurately detect facial features. The facial characteristics are extracted using the five types of simple Haar-like features. The extracted features are reinterpreted by Principal Component Analysis (PCA), and the interpreted principal components are processed by Support Vector Machine (SVM) that classifies into facial and non-facial areas. The movement of the face is traced by Kalman filter and Mean shift, which use the static information of the detected faces and the differences between previous and current frames. The proposed system identifies the initial skin color and updates it through a real-time color detecting system. A similar background color can be removed by updating the skin color. Also, the performance increases up to 20% when the background color is reduced in comparison to extracting features from the entire region. The increased detection rate and speed are acquired by the usage of Kalman filter and Mean shift.
Keywords
Face Detection; Face Tracking; Skin Color; Kalman Filter; Mean Shift;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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