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Title:
an inter-modified method of hand tracking and pose recognition under complex background
Author: Yan Yangtian ; Zhang Fengjun ; Wang Hongan ; Dai Guozhong
Keyword: Computer applications ; Information systems
Source: Journal of Computational Information Systems
Issued Date: 2013
Volume: 9, Issue:4, Pages:1455-1463
Indexed Type: EI
Department: (1) Institute of Software Chinese Academy of Sciences Beijing 100190 China; (2) University of Chinese Academy of Sciences Beijing 100080 China
Abstract: 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.
English Abstract: 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.
Language: 英语
Content Type: 期刊论文
URI: http://ir.iscas.ac.cn/handle/311060/15642
Appears in Collections:软件所图书馆_期刊论文

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Recommended Citation:
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,2013-01-01,9(4):1455-1463.
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