Hand Detection and Gesture Recognition Exploit Motion Times Image in Complicate Scenarios
文献类型：会议论文
| 作者 | Zhan Song; Hanxuan Yang; Yanguo Zhao; Feng Zheng |
| 出版日期 | 2010 |
| 会议名称 | 6th International, Symposium on Visual Computing, ISVC 2010 |
| 英文摘要 | Hand gesture recognition in complicate scenario is still a challenging problem in computer vision domain. In this paper, a novel hand gesturerecognition system is presented. To detect the exact hand target from complicate scenarios, the color and motion clues are used to obtain potentialhand regions. And then a method named Motion Times Image (MTI) is proposed to identify the optimal hand location. The R-transform descriptor is used to describe the hand shape features and an offline trained Support Vector Machine with Radial Basis Function kernels (RBF-SVM) is exploited to perform the hand gesture recognition task. Extensive experiments with different users under dynamic and complicate scenarios are conducted to show its high recognition accuracy and strong robustness. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/2857]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 作者单位 | 2010 |
| 推荐引用方式 GB/T 7714 | Zhan Song,Hanxuan Yang,Yanguo Zhao,et al. Hand Detection and Gesture Recognition Exploit Motion Times Image in Complicate Scenarios[C]. 见:6th International, Symposium on Visual Computing, ISVC 2010. |
入库方式： OAI收割
来源：深圳先进技术研究院
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