Infrared dynamic hand gesture recognition based on Gabor feature and sparse representation

Dynamic hand gesture recognition is a subject which has been investigated almost from the beginning of using terminals to interact with the computer central unit. We present a method for dynamic hand gesture recognition with image source acquired by a single IR camera. First of all, the hand images are captured by one infrared camera, which are light independent, and not be limited by skin color. Second, due to the dynamic hand gesture sets contain more than one frame, the data dimension is very large and the adjacent frames have limited difference. We use the twofold selections to choose the key frames from the gesture image sets. The Gabor feature is used to describe the locality variation. And the Sparse representation based classification (SRC) is used for recognition. Experimental results on dynamic hand gesture images with variations of rotation and translation demonstrate the good performance of our method.

[1]  Fengming Zhang,et al.  Hand Gesture Recognition Based on MEB-SVM , 2009, 2009 International Conference on Embedded Software and Systems.

[2]  Ian T. Jolliffe,et al.  Principal Component Analysis , 2002, International Encyclopedia of Statistical Science.

[3]  Jinguang Sun,et al.  Face Recognition Based on Gabor Feature Extraction and Fractal Coding , 2010, 2010 Third International Symposium on Electronic Commerce and Security.

[4]  Lei Zhang,et al.  Gabor Feature Based Sparse Representation for Face Recognition with Gabor Occlusion Dictionary , 2010, ECCV.

[5]  Allen Y. Yang,et al.  Robust Face Recognition via Sparse Representation , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[6]  M. Panwar.  Hand gesture recognition based on shape parameters , 2012, 2012 International Conference on Computing, Communication and Applications.

[7]  Chengjun Liu,et al.  Gabor feature based classification using the enhanced fisher linear discriminant model for face recognition , 2002, IEEE Trans. Image Process..

[8]  Chengjun Liu,et al.  Gabor-based kernel PCA with fractional power polynomial models for face recognition , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[9]  Zhihua Xie.  Infrared face recognition based on LBP co-occurrence matrix , 2014, CCC 2014.

[10]  Hsiang Yueh Lai,et al.  Real-Time Dynamic Hand Gesture Recognition , 2014, 2014 International Symposium on Computer, Consumer and Control.