Face and gesture recognition for human computer interaction employing 2DHoG

Face and hand gesture recognition is one of the most challenging topics in computer vision. In this paper, a novel algorithm presenting a new 2D representation of histogram of oriented gradients is proposed, where each bin represents a range of angles dealt with in a separate layer employing 2DPCA. This method maintains the spatial relation between pixels which enhance the recognition accuracy. In addition it can be applied on either face or hand gesture images. Experimental results confirm excellent properties of the proposed algorithm and promotes it for real time applications.

[1]  Kazuhiko Yamamoto,et al.  Face and hand gesture recognition for human-computer interaction , 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

[2]  Thomas B. Moeslund,et al.  A Survey of Computer Vision-Based Human Motion Capture , 2001, Comput. Vis. Image Underst..

[3]  Narendra Ahuja,et al.  Detecting Faces in Images: A Survey , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[4]  W. Mikhael,et al.  A novel algorithm for simultaneous face detection and recognition , 2012, 2012 IEEE 55th International Midwest Symposium on Circuits and Systems (MWSCAS).

[5]  Ying Wu,et al.  Vision-Based Gesture Recognition: A Review , 1999, Gesture Workshop.

[6]  Alex Pentland,et al.  Face recognition using eigenfaces , 1991, Proceedings. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[7]  Matti Pietikäinen,et al.  Performance evaluation of texture measures with classification based on Kullback discrimination of distributions , 1994, Proceedings of 12th International Conference on Pattern Recognition.

[8]  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.

[9]  Alejandro F. Frangi,et al.  Two-dimensional PCA: a new approach to appearance-based face representation and recognition , 2004 .

[10]  S. Mitra,et al.  Gesture Recognition: A Survey , 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[11]  M. Turk,et al.  Eigenfaces for Recognition , 1991, Journal of Cognitive Neuroscience.

[12]  Dariu Gavrila,et al.  The Visual Analysis of Human Movement: A Survey , 1999, Comput. Vis. Image Underst..

[13]  Thomas B. Moeslund,et al.  Real-time recognition of hand alphabet gestures using principal component analysis , 1997 .

[14]  Bill Triggs,et al.  Histograms of oriented gradients for human detection , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[15]  Zhengyou Zhang,et al.  A Survey of Recent Advances in Face Detection , 2010 .