Generalized Haar-Like Features for Fast Face Detection

In the framework of Viola-Jones' fast object detection, Haar like features are extracted from gray level image. This paper proposes a new concept of gray-like image from which generalized Haar like features can also be exacted, so as to make use of other forms of images in addition to gray level image in Haar+Adaboost schema. As an application of the gray-like images, the generalized Haar-like features are constructed for fast face detection. Experimental results show that the boosted face detector using the generalized Haar-like features outperforms significantly the original using the basic Haar-like features.

[1]  Takeshi Mita,et al.  Joint Haar-like features for face detection , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

[2]  Paul A. Viola,et al.  Fast and Robust Classification using Asymmetric AdaBoost and a Detector Cascade , 2001, NIPS.

[3]  Rainer Lienhart,et al.  Empirical Analysis of Detection Cascades of Boosted Classifiers for Rapid Object Detection , 2003, DAGM-Symposium.

[4]  A. Koschan.  A Comparative Study On Color Edge Detection , 1995 .

[5]  Harry Shum,et al.  Statistical Learning of Multi-view Face Detection , 2002, ECCV.

[6]  Yajie Tian,et al.  Handbook of face recognition , 2003 .

[7]  Erik Hjelmås,et al.  Face Detection: A Survey , 2001, Comput. Vis. Image Underst..

[8]  Paul A. Viola,et al.  Robust Real-Time Face Detection , 2001, International Journal of Computer Vision.

[9]  Paul A. Viola,et al.  Robust Real-time Object Detection , 2001 .

[10]  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.

[11]  Stan Z. Li,et al.  FloatBoost learning and statistical face detection , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.