Face Detection System Based on Viola - Jones Algorithm

Locating facial feature in images is an important stage for applications such as eye tracking, recognition of face, face expression recognition and face tracking and lip reading. In this paper, we present a method for detecting face from the live image. The face is detected from whole image using viola jones algorithm. Than haar feature based Adaboost algorithm are used to extract the facial region from the image. We use cascading of stage to make the process faster.

[1]  Gopi Krishna,et al.  Face Detection System On AdaBoost Algorithm Using Haar Classifiers , 2012 .

[2]  Yo-Sung Ho,et al.  Object detection based on fast template matching through adaptive partition search , 2015, 2015 12th International Joint Conference on Computer Science and Software Engineering (JCSSE).

[3]  Thang Manh Hoang,et al.  Extraction of human facial features based on Haar feature with Adaboost and image recognition techniques , 2012, 2012 Fourth International Conference on Communications and Electronics (ICCE).

[4]  Paul A. Viola,et al.  Rapid object detection using a boosted cascade of simple features , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

[5]  Preeti R. Bajaj,et al.  Driver Fatigue Detection Based on Eye Tracking , 2008, 2008 First International Conference on Emerging Trends in Engineering and Technology.

[6]  Mohamad Hoseyn Sigari Driver Hypo-vigilance Detection Based on Eyelid Behavior , 2009, 2009 Seventh International Conference on Advances in Pattern Recognition.

[7]  Narendra Nath Joshi,et al.  Driver fatigue detection system , 2016, 2016 IEEE International Conference on Signal and Image Processing (ICSIP).