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Hand gesture recognition using saliency and histogram intersection kernel based sparse representation

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Abstract

Nowadays, sparse representation classification (SRC) has been widely applied in various computer vision areas such as face recognition. However, few researchers have applied SRC in static hand gesture recognition. In our paper, we propose to employ saliency based feature and sparse representation for hand gesture recognition and make in-depth researches in sparsity term parameter and sparse coefficient computation. In addition, literatures show that SRC can not deal with non-linear features well and may produce bad recognition results, so we propose to employ histogram intersection kernel function to map the original features into kernel feature space and use sparse representation classification in the kernel feature space. Furthermore, we compare SR with Support Vector Machine (SVM), Artificial Neural Networks (ANN), Bayesian Network (BN) and Decision Tree (DT). At last, experimental results show that the recognition rate obtained using l1ls_featuresign algorithm has a higher recognition rate than that of l1_ls algorithm and Sparse Representation outperforms all other classifiers compared. In addition, the performance comparison on different kernel functions and different features is also conducted. The average recognition rate of saliency based feature on histogram intersection kernel is 98.91 %, indicating the effectiveness of the proposed saliency based feature and the histogram intersection kernel.

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Acknowledgments

The authors would like to thank the anonymous reviewers for the careful reading of the original manuscript. Their valuable comments and suggestions have led to a much better presentation of the paper. This research is supported in part by the Natural Science Foundation of Jiangxi Provincial Education Department under Grant No.GJJ14281 and the National Natural Science Foundation of China under Grant No. 61462038, No. 61403182, No. 61363046 and No. 61363041.

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Authors and Affiliations

  1. School of Software, Jiangxi Agricultural University, Nanchang, China

    Wenji Yang

  2. School of Information Science and Engineering, Yanshan University, Qinhuangdao, China

    Wenji Yang & Lingfu Kong

  3. School of Information Engineering, Nanchang University, Nanchang, China

    Mingyan Wang

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  1. Wenji Yang
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  2. Lingfu Kong
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  3. Mingyan Wang
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Correspondence to Wenji Yang or Mingyan Wang.

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Yang, W., Kong, L. & Wang, M. Hand gesture recognition using saliency and histogram intersection kernel based sparse representation. Multimed Tools Appl 75, 6021–6034 (2016). https://doi.org/10.1007/s11042-015-2947-0

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  • DOI: https://doi.org/10.1007/s11042-015-2947-0

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