Gabor-Based Kernel PCA with Fractional Power Polynomial Models for Gait Recognition
碩士 === 國立成功大學 === 電機工程學系碩士在職專班 === 103 === In this thesis, we propose a method to extract the human gait features from the surveillance video through Gabor wavelet transformation, and then we classify these features by kernel principle component analysis (PCA) with the fractional power polynomial mo...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2015
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| Online Access: | http://ndltd.ncl.edu.tw/handle/q2e8w3 |