Kernel-based sparse representation for gesture recognition

作者：

Highlights：

• An effective feature extraction method is proposed for gesture recognition.

• Kernel trick is applied to learning the dictionary for sparse representation.

• Comparisons with state-of-the-art methods are performed.

• Superior recognition rate is achieved.

摘要

Highlights•An effective feature extraction method is proposed for gesture recognition.•Kernel trick is applied to learning the dictionary for sparse representation.•Comparisons with state-of-the-art methods are performed.•Superior recognition rate is achieved.

论文关键词：Gesture recognition,Computer vision,Compressive sensing,Sparse representation,Dictionary learning

论文评审过程：Received 12 June 2011, Revised 28 February 2013, Accepted 1 June 2013, Available online 15 June 2013.

论文官网地址：https://doi.org/10.1016/j.patcog.2013.06.007