Automated Identification of Human Action Recognition Using SVM
碩士 === 南臺科技大學 === 電子工程系 === 107 === This thesis uses Support Vector Machine (SVM) to analyze pedestrian dynamic posture. We used a webcam as an image capture tool and employed the Gaussian Mixture Model, color conversion, morphology, and threshold conversion to effectively separate pedestrian from t...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2019
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| Online Access: | http://ndltd.ncl.edu.tw/handle/zp8kz4 |