Abstract—Real time face detection and face tracking is one of the challenging problem in computer human interaction, video surveillance, biometrics etc. In this paper we are presenting an algorithm for real time face detection and tracking using skin color segmentation and region properties. First segmentation of skin regions from an image is done by using different color models. Skin regions are separated from the image by using thresholding. Then to decide whether these regions contain human face or not we used face features. Our procedure is based on skin color segmentation and human face features (knowledge-based approach). We have used RGB, YCbCr, and HSV color models for skin color segmentation. These color models with thresholds, help to remove non skin like pixel from an image. Each segmented skin regions are tested to know whether region is human face or not, by using human face features based on knowledge of geometrical properties of human face.

 

Index Terms—face detection, color models, bounding box, centroid, euler number, color image segmentation

Cite: Prashanth Kumar G. and Shashidhara M., "Real Time Detection and Tracking of Human Face Using Skin Color Segmentation and Region Properties," International Journal of Signal Processing Systems, Vol. 2, No. 2, pp. 102-107, December 2014. doi: 10.12720/ijsps.2.2.102-107