Cover page and Table of Contents: PDF (size: 725KB)
Full Text (PDF, 725KB), PP.40-46
Views: 0 Downloads: 0
Face Detection, color models, Bounding box, Centroid, Euler Number, color image segmentation
Real time faces detection and face tracking is one of the challenging problems in application like 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.
Prashanth Kumar G., Shashidhara M.,"Real Time Detection and Tracking of Human Face using Skin Color Segmentation and Region Properties", IJIGSP, vol.6, no.8, pp.40-46, 2014. DOI: 10.5815/ijigsp.2014.08.06
Jong-Min Kim, Kyoung-Ho Kim and Maeng-Kyu “RealTime Face Detection and Recognition Using Rectangular Feature Based Classifier and Modified Matching Algorithm” Fifth International Conference on Natural Computation. 2009.
A. Pazhampily, Sreedevi, B. Sarath S Nair “Image Processing Based Real Time Vehicle Theft Detection and Prevention System” IEEE International conference on Image processing, 2011.
Wee Lau Cheong, Cheng Mun Char, Yi Chwen Lim, Samuel Lim, Siak Wang Khor “Building a Computation Savings Real-Time Face Detection And Recognition System” 2nd International Conference, 2010.
Mandalapu Sarada Devi, Dr Preeti R Baja, “Active Facial Tracking” Third International Conference on Emerging Trends in Engineering and Technology. 2012.
M.Turk. and A. Pentland., “Face recognition using eigenfaces”, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, Maui, Hawaii, pp. 586-591, 3-6 June 1991.
Kamarul Hawari Bin Ghazali, Jie Ma, Rui Xiao, “Driver's Face Tracking Based on Improved CAM Shift” International Journals on Image, Graphics and Signal Processing, 2013, 1, 1-7 Published Online January 2013 in MECS.
Dr. Arti Khaparde, Sowmya Reddy.Y Swetha Ravipudi,”Face Detection Using Color Based Segmentation and Morphological Processing – A Case study”, Whitepaper Access Control, Technology sec watch, Whitepaper, September 27, 2007.
BaozhuWang, Xiuying Chang, Cuixiang Liu “Skin Detection and Segmentation of Human Face in Color Images”, International Journal of Intelligent Engineering and Systems, Vol.4, No.1, 2011.
Kamarul Hawari Bin Ghazali, “An Innovative Face Detection based on Skin Color Segmentation”- International Journal of Computer Applications Volume 34– No.2, November 2011.
R. Vijayanandh, Dr. G. Balakrishnan, “Human Face Detection Using Color Spaces and Region Property Measures”, 2010 11th Int. Conf. Control, Automation, Robotics and Vision Singapore, December 2010.
C. N. Ravi Kumar, Bindhu A, “An Efficient Skin Illumination Compensation Model for Efficient Face Detection”, 2010.
Yihu Yi, Daokui Qu, Fang Xu, “Face Detection Method Based on Skin Color Segmentation and Facial Component Localization”, 2nd International Asia Conference on Informatics in Control, Automation and Robotics, 2010.
Ali Javed “Face Recognition Based on Principal Component Analysis” International Journals on Image, Graphics and Signal Processing, 2013, 2, 38-44 (Published Online February 2013 in MECS).
M. Turk, A. Pentland, “Eigenfaces for Recognition”, Journal of Cognitive Neurosicence, Vol. 3, No. 1, pp. 71-86, 1991.
Z. Zivkovic and B. Krose, “An algorithm for color-histogram based object tracking”, in IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 2004.