A Principal-Component-Analysis-Based Approach to Recognizing the Postures of Human Silhouettes
碩士 === 國立臺灣科技大學 === 自動化及控制研究所 === 91 === In this thesis, we present a principal component analysis (PCA) method to recognize body postures in real-time, which produces an eigenspace as our recognition model since a body posture in a two-dimensional image generally has a fixed shape and si...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2003
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| Online Access: | http://ndltd.ncl.edu.tw/handle/55524967456016448274 |