an inter-modified method of hand tracking and pose recognition under complex background

ISCAS OpenIR

	an inter-modified method of hand tracking and pose recognition under complex background
	Yan Yangtian; Zhang Fengjun; Wang Hongan; Dai Guozhong
	2013
发表期刊	Journal of Computational Information Systems
ISSN	1553-9105
卷号	9 期号:4 页码:1455-1463
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.; 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
关键词	Computer Applications Information Systems
部门归属	(1) Institute of Software Chinese Academy of Sciences Beijing 100190 China; (2) University of Chinese Academy of Sciences Beijing 100080 China
语种	英语
内容类型	期刊论文
URI标识	http://ir.iscas.ac.cn/handle/311060/15642
专题	中国科学院软件研究所
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.