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利用基于颜色的自适应形状模型实现手势跟踪*
引用本文:齐苏敏,黄贤武,刘家盛.利用基于颜色的自适应形状模型实现手势跟踪*[J].计算机应用研究,2008,25(2):485-487.
作者姓名:齐苏敏  黄贤武  刘家盛
作者单位:1. 曲阜师范大学,计算机科学学院,山东,曲阜,273165;苏州大学,电子信息学院,江苏,苏州,215021
2. 苏州大学,电子信息学院,江苏,苏州,215021
摘    要:提出了一种基于颜色的自适应形状模型,并利用该模型实现了图像序列中的实时手势跟踪.跟踪算法基于自适应的颜色模型实现准确的手部轮廓提取,并利用基于二维颜色模型的粒子滤波器实现序列图像中跟踪目标的运动估计.实验结果表明了基于颜色的自适应形状模型对凸形与凹形手部轮廓均能达到准确的手部轮廓提取,并能满足图像序列手势跟踪的实行性要求.

关 键 词:手势跟踪  形状模型  颜色分布模型  粒子滤波器
文章编号:1001-3695(2008)02-0485-03
收稿时间:2006-11-24
修稿时间:2007-07-13

Hand tracking using adaptive color based shape model
QI Su min,HUANG Xian wu,LIU Jia sheng.Hand tracking using adaptive color based shape model[J].Application Research of Computers,2008,25(2):485-487.
Authors:QI Su min  HUANG Xian wu  LIU Jia sheng
Affiliation:(1.School of Computer Science, Qufu Normal University, Qufu Shandong 273165, China; 2.School of Electronics & Information Engineering, Soochow University, Suzhou Jiangsu 215021, China)
Abstract:This paper proposed an adaptive color-based shaped model, and implemented the real-time hand tracking using this model. The tracking algorithm extracts the hand contour based on an adaptive color model, and the motion estimation is acquired using a 2-D color distribution model based particle filter. Experiments show that the adaptive color-based shape model accurately extracts both the convex hand contour and the concave hand contour, and the hand tracking is fast enough for the real-time performance in the sequence.
Keywords:hand tracking  shape model  color distribution model  particle filter
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