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基于HS-CrCb空间的手指数量检测方法研究
引用本文:郑海彬,杨忠,张天翼.基于HS-CrCb空间的手指数量检测方法研究[J].电子测量技术,2016,39(8):9-13.
作者姓名:郑海彬  杨忠  张天翼
作者单位:南京航空航天大学自动化学院 南京 210016
摘    要:手势识别成为未来人机交互的重要方式,本文主要对复杂背景下手指数量的检测方法进行研究。首先通过对比分析不同颜色空间下的手势区域提取方法,提出一种基于 HS-CrCb 肤色模型的手势区域提取方法,并在实验中提取了更清晰和完整的手势区域;其次,采用凸缺陷、手势形状以及手指夹角等特征对手势进行建模和手指数量检测,算法能准确识别出不同手势下对应的手指数量。在Qt和OpenCV环境下建立算法平台,算法在实验测试中取得了良好的效果,具有较好的工程参考和应用价值。

关 键 词:手指数量检测  肤色模型  凸缺陷  手掌建模  Qt  OpenCV

Research on finger number detection based on HS CrCb color space
Zheng Haibin,Yang Zhong and Zhang Tianyi.Research on finger number detection based on HS CrCb color space[J].Electronic Measurement Technology,2016,39(8):9-13.
Authors:Zheng Haibin  Yang Zhong and Zhang Tianyi
Affiliation:College of Automation, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China,College of Automation, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China and College of Automation, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
Abstract:Hand gesture recognition becomes a significant way of the future human-computer interaction gradually.The method of finger number detection under complicated background has been studied in this paper.Firstly,through the analysis of the different hand area extraction methods under various color space,a new extraction method based on the HS-CrCb color space is proposed in this paper,and a more clear and complete hand area is extracted use this method. Secondly,the convex defect,the hand’s shape and the angle between different fingers are used to build a hand model and detect the finger number. This method can recognize the according finger number under different gestures accurately.The algorithm is verified under the Qt and OpenCV platform,and achieves a fine result,which means the algorithm have a good reference and application value.
Keywords:number of finger detection  skin-color model  convex defect  hand modeling  Qt  OpenCV
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