计算机应用与软件2013，Vol.30Issue(3)：247-249,267,4.DOI:10.3969/j.issn.1000-386x.2013.03.065
复杂背景下BP神经网络的手势识别方法
HAND GESTURE RECOGNITION BASED ON BP NEURAL NETWORK IN COMPLEX BACKGROUND
摘要
Abstract
In light of the characteristics of skin colour in gesture images, the combination of threshold segmentation of skin colour in RGB space and cluster characteristics in YCbCr colour space as well as the application of background model effectively reduce the interference of similar skin colours in background and achieve the detection and segmentation of hand image in complex background. Seven constant Hu moment descriptors of image are used to characterise different binary hand gesture contours. At last, the BP neural network is applied to hand gesture recognition. Experimental results demonstrate that this method has higher recognition rate and better robustness.关键词
背景模型/Hu矩描述子/BP神经网络/手势识别Key words
Background model/ Hu moment descriptor / BP neural network/ Hand gesture recognition分类
信息技术与安全科学引用本文复制引用
王先军,白国振,杨勇明..复杂背景下BP神经网络的手势识别方法[J].计算机应用与软件,2013,30(3):247-249,267,4.
