Fast hand detection and gesture recognition

A fast hand detection and gesture recognition method is proposed in this paper. To reduce the computation time, we employ symmetric mask-based discrete wavelet transform (SMDWT) to reduce the image resolution and then utilize the extracted characteristics to perform hand detection and gesture recognition. The proposed method reduces about 66% of the overall computation time. Experimental results show that the proposed real time hand detection and gesture recognition methods can detect fast and accurately, and can be implemented on embedded system easily. The average gesture recognition rate is around 97.5%.

[1]  D. Marquardt.  An Algorithm for Least-Squares Estimation of Nonlinear Parameters , 1963 .

[2]  Hyunchul Shin,et al.  New hand gesture recognition method for mouse operations , 2011, 2011 IEEE 54th International Midwest Symposium on Circuits and Systems (MWSCAS).

[3]  Bo Yu,et al.  Static hand gesture recognition algorithm based on finger angle characteristics , 2014, CCC 2014.

[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]  Ling Yang,et al.  An improved hand detection by employing corner detector , 2014, 2014 International Conference on Machine Learning and Cybernetics.

[6]  Wang Jun-zheng,et al.  Gesture recognition based on improved shape context algorithm and Earth Mover's Distance , 2013, Proceedings of the 32nd Chinese Control Conference.

[7]  Chih-Hsien Hsia,et al.  Improved Low-Complexity Algorithm for 2-D Integer Lifting-Based Discrete Wavelet Transform Using Symmetric Mask-Based Scheme , 2009, IEEE Transactions on Circuits and Systems for Video Technology.

[8]  Alexander H. Waibel,et al.  A real-time face tracker , 1996, Proceedings Third IEEE Workshop on Applications of Computer Vision. WACV'96.

[9]  Zhijie Wang,et al.  Rapid gesture recognition for robert navigation , 2013, 2013 6th International Conference on Biomedical Engineering and Informatics.