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一种快速鲁棒的动态入手跟踪方法
引用本文:吕金刚,吴斌,刘恒,周翔宇,邵延华.一种快速鲁棒的动态入手跟踪方法[J].微型机与应用,2012,31(1):33-36.
作者姓名:吕金刚  吴斌  刘恒  周翔宇  邵延华
作者单位:1. 西南科技大学信息工程学院,四川绵阳,621010
2. 重庆大学光电工程学院光电技术及系统教育部重点实验室,重庆,400030
摘    要:介绍了一种基于肤色与手形的动态人手跟踪方法。根据检测过程中所用到的人手基本特征,提出了一种基于色度一饱和度自适应阂值肤色分割与成对几何直方图(PGH)匹配的人手图像检测方法。为了克服跟踪过程中背景色干扰的问题,实现了基于Kalman滤波器的预测跟踪。实验结果表明,该动态人手跟踪方法计算简便、实时性好、跟踪精度高,可应用在大多数复杂场景。

关 键 词:肤色概率直方图  成对几何直方图  卡尔曼滤波器

Fast and robust approach to tracking moving hand
Lv Jin’gang,Wu Bin,Liu Heng,Zhou Xiangyu,Shao Yanhua.Fast and robust approach to tracking moving hand[J].Microcomputer & its Applications,2012,31(1):33-36.
Authors:Lv Jin’gang  Wu Bin  Liu Heng  Zhou Xiangyu  Shao Yanhua
Affiliation:1.School of Information Engineering,Southwest University of Science and Tecnology,Mianyang 621010,China;2.Key Laboratory of Optoelectronic Technology and Systems of the Education Ministry,College of Opto-Electronic Engineering,Chongqing University,Chongqing 400030,China)
Abstract:This paper presents an approach of moving hand tracking based on skin-color and hand shape.It proposes a method to detect moving hand based on chromatic adaptive thresholding and PGH matching.In order to solve the problem of the disturbances from background color,it achieves a predictive tracking method based on Kalman filter.The results show that the method is simple and accurate,and can be used in most complex scenes.
Keywords:skin probability distribution histogram  pair-wise geometrical histogram  Kalman filter
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