Hand posture recognition with co-training
文献类型：会议论文
| 作者 | Yikai Fang; Jian Cheng ; Jinqiao Wang; Kongqiao Wang; Jing Liu; Hanqing Lu
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| 出版日期 | 2008 |
| 会议日期 | December 8-11, 2008 |
| 会议地点 | Tampa, Florida, USA |
| 关键词 | 无 |
| 英文摘要 | As an emerging human-computer interaction approachvision based hand interaction is more natural and efficient. Howeverin order to achieve high accuracy, most of the existing hand posture recognition methods need a large number of labeled samples which is expensive or unavailable in practice. In this paper, a co-training based method is proposed to recognize different hand postures with a small quantity of labeled data. Hand postures examples are represented with different features and disparate classifiers are trained simultaneously with labeled data. Then the semi-supervised learning treats each new posture as unlabeled data and updates the classifiers in a cotraining framework. Experiments show that the proposed method outperforms the traditional methods with much less labeled examples. |
| 会议录 | 无
 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/13451]  |
| 专题 | 自动化研究所_模式识别国家重点实验室_图像与视频分析团队 |
| 通讯作者 | Jian Cheng |
| 推荐引用方式 GB/T 7714 | Yikai Fang,Jian Cheng,Jinqiao Wang,et al. Hand posture recognition with co-training[C]. 见:. Tampa, Florida, USA. December 8-11, 2008. |
入库方式： OAI收割
来源：自动化研究所
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