an inter-modified method of hand tracking and pose recognition under complex background
文献类型：期刊论文
| 作者 | Yan Yangtian ; Zhang Fengjun ; Wang Hongan ; Dai Guozhong |
| 刊名 | Journal of Computational Information Systems
 |
| 出版日期 | 2013 |
| 卷号 | 9期号:4页码:1455-1463 |
| 关键词 | Computer applications Information systems |
| ISSN号 | 1553-9105 |
| 中文摘要 | This paper proposed an inter-modified method to track and recognize hand under complex background. For more reliable tracking result, two tracking algorithms, Lucas-Kanade tracker and CamShift tracker, are used during the process of tracking. Lucas-Kanade tracker is not only used to track the hand, but its tracking result is also used to modify CamShift tracker. For more reliable recognition result, two tracking results are passed into the recognition module, and then the tracking and recognition inter-modified: combining results of tracking to do recognition can decrease the interference in complex background and increase the efficiency of recognition process; while combining results of recognition to make tracking can eliminate deviations of tracking process. Experiments indicate that compared with traditional tracking method, our method achieves better tracking results. At the same time, our method can provide stable correct hand pose recognition results under complex background. Copyright © 2013 Binary Information Press. |
| 英文摘要 | This paper proposed an inter-modified method to track and recognize hand under complex background. For more reliable tracking result, two tracking algorithms, Lucas-Kanade tracker and CamShift tracker, are used during the process of tracking. Lucas-Kanade tracker is not only used to track the hand, but its tracking result is also used to modify CamShift tracker. For more reliable recognition result, two tracking results are passed into the recognition module, and then the tracking and recognition inter-modified: combining results of tracking to do recognition can decrease the interference in complex background and increase the efficiency of recognition process; while combining results of recognition to make tracking can eliminate deviations of tracking process. Experiments indicate that compared with traditional tracking method, our method achieves better tracking results. At the same time, our method can provide stable correct hand pose recognition results under complex background. Copyright © 2013 Binary Information Press. |
| 收录类别 | EI |
| 语种 | 英语 |
| 公开日期 | 2013-09-17 |
| 源URL | [http://ir.iscas.ac.cn/handle/311060/15642]  |
| 专题 | 软件研究所_软件所图书馆_期刊论文 |
| 推荐引用方式 GB/T 7714 | Yan Yangtian,Zhang Fengjun,Wang Hongan,et al. an inter-modified method of hand tracking and pose recognition under complex background[J]. Journal of Computational Information Systems,2013,9(4):1455-1463. |
| APA | Yan Yangtian,Zhang Fengjun,Wang Hongan,&Dai Guozhong.(2013).an inter-modified method of hand tracking and pose recognition under complex background.Journal of Computational Information Systems,9(4),1455-1463. |
| MLA | Yan Yangtian,et al."an inter-modified method of hand tracking and pose recognition under complex background".Journal of Computational Information Systems 9.4(2013):1455-1463. |
入库方式： OAI收割
来源：软件研究所
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