Gait Recognition Algorithm Based on Feature Fusion of GEI Dynamic Region and Gabor Wavelets


Jun Huang, Xiuhui Wang, Jun Wang, Journal of Information Processing Systems Vol. 14, No. 4, pp. 892-903, Aug. 2018  

10.3745/JIPS.02.0088
Keywords: gait recognition, Feature Fusion, Gabor Wavelets, GEI, KPCA
Fulltext:

Abstract

The paper proposes a novel gait recognition algorithm based on feature fusion of gait energy image (GEI) dynamic region and Gabor, which consists of four steps. First, the gait contour images are extracted through the object detection, binarization and morphological process. Secondly, features of GEI at different angles and Gabor features with multiple orientations are extracted from the dynamic part of GEI, respectively. Then averaging method is adopted to fuse features of GEI dynamic region with features of Gabor wavelets on feature layer and the feature space dimension is reduced by an improved Kernel Principal Component Analysis (KPCA). Finally, the vectors of feature fusion are input into the support vector machine (SVM) based on multi classification to realize the classification and recognition of gait. The primary contributions of the paper are: a novel gait recognition algorithm based on based on feature fusion of GEI and Gabor is proposed; an improved KPCA method is used to reduce the feature matrix dimension; a SVM is employed to identify the gait sequences. The experimental results suggest that the proposed algorithm yields over 90% of correct classification rate, which testify that the method can identify better different human gait and get better recognized effect than other existing algorithms.


Statistics
Show / Hide Statistics

Statistics (Cumulative Counts from November 1st, 2017)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.




Cite this article
[APA Style]
Jun Huang, Xiuhui Wang, & Jun Wang (2018). Gait Recognition Algorithm Based on Feature Fusion of GEI Dynamic Region and Gabor Wavelets. Journal of Information Processing Systems, 14(4), 892-903. DOI: 10.3745/JIPS.02.0088.

[IEEE Style]
J. Huang, X. Wang and J. Wang, "Gait Recognition Algorithm Based on Feature Fusion of GEI Dynamic Region and Gabor Wavelets," Journal of Information Processing Systems, vol. 14, no. 4, pp. 892-903, 2018. DOI: 10.3745/JIPS.02.0088.

[ACM Style]
Jun Huang, Xiuhui Wang, and Jun Wang. 2018. Gait Recognition Algorithm Based on Feature Fusion of GEI Dynamic Region and Gabor Wavelets. Journal of Information Processing Systems, 14, 4, (2018), 892-903. DOI: 10.3745/JIPS.02.0088.