Hand gesture detection and segmentation based on difference background image with complex background

doi:10.1109/ICESS.2008.23

	Hand gesture detection and segmentation based on difference background image with complex background
	Zhang, Qiuyu; Chen, Fan; Liu, Xinwen
	2008
会议日期	July 29, 2008 - July 31, 2008
会议地点	Chengdu, Sichuan, China
关键词	Embedded software Embedded systems Image segmentation Normal distribution Palmprint recognition Adaptive methods Automatic threshold selection Background image Between-class variances Complex background Illumination changes Optimal threshold Segmented images
DOI	10.1109/ICESS.2008.23
页码	338-343
英文摘要	The video streams of backgrounds are frequently influenced by the background changes (e.g. illumination changes and changes due to adding or removing parts of the background). Further more, the quality of the foreground and the segmented image of hand gesture severely drops. We propose a novel method, which is based on difference background image between consecutive video frames, of using the '3σ -principle' of normal distribution for hand gesture detection to cope with the problem. The adaptive method of automatic threshold selection based on the method of maximal between-class variance is proposed for hand gesture segmentation to select optimal threshold. Experimentations show that the better images are obtained with complex background, no matter if the proportion of the hand gesture is high or low. Several experimental images are presented to support the validity of the method. © 2008 IEEE.
会议录	Proceedings of The International Conference on Embedded Software and Systems, ICESS 2008
会议录出版者	IEEE Computer Society
语种	英语
内容类型	会议论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/116841]
专题	计算机与通信学院
作者单位	College of Computer and Communication, LAN Zhou Univ. of Tech., Lanzhou, 730050, China
推荐引用方式 GB/T 7714	Zhang, Qiuyu,Chen, Fan,Liu, Xinwen. Hand gesture detection and segmentation based on difference background image with complex background[C]. 见:. Chengdu, Sichuan, China. July 29, 2008 - July 31, 2008.