Silhouette Feature Detection Using AdaBoost with Applications to Human Posture Recognition
碩士 === 國立交通大學 === 資訊科學與工程研究所 === 94 === Human posture analysis is one of the most important steps towards successful human behavior analysis. In this thesis, a silhouette-based learning approach is proposed to develop an efficient and effective human posture recognizing system. Discriminating featur...
| Main Authors: | , |
|---|---|
| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2006
|
| Online Access: | http://ndltd.ncl.edu.tw/handle/80812530368292842152 |
| Summary: | 碩士 === 國立交通大學 === 資訊科學與工程研究所 === 94 === Human posture analysis is one of the most important steps towards successful human behavior analysis. In this thesis, a silhouette-based learning approach is proposed to develop an efficient and effective human posture recognizing system. Discriminating features from human body silhouette are first extracted and then AdaBoost algorithm is employed for training a recognition system. The features in AdaBoost are selected and modified according to the specific characteristics of human postures. Depending on the describing ability of our features, we demonstrate that our system operates higher performance than the traditional approaches. Users can recognize human postures in an efficient and effective manner using the proposed framework.
|
|---|