[1]关键,何良华*.一种基于视频的手势识别算法[J].延边大学学报(自然科学版),2013,39(03):211-214.
　GUAN Jian,HE Lianghua*.A gesture recognition algorithm based on video[J].Journal of Yanbian University,2013,39(03):211-214.
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一种基于视频的手势识别算法

《延边大学学报(自然科学版)》[ISSN:1004-4353/CN:22-1191/N] 卷: 第39卷 期数: 2013年03期 页码: 211-214 栏目: 出版日期: 2013-09-30
Title:
A gesture recognition algorithm based on video
文章编号:
1004-4353(2013)03-0211-04
作者:
关键;  何良华*
同济大学电子与信息工程学院 计算机科学与技术系, 上海 201804
Author(s):
GUAN Jian;  HE Lianghua*
Department of computer science and technology, College of Electronics and Information Engineering, Tongji University, Shanghai 201804, China
关键词:
手势识别;  神经网络;  视频;  算法
Keywords:
gesture recognition;  artificial neuron network;  video;  algorithm
分类号:
TP391.4
文献标志码:
A
摘要:
研究了一种基于视频的手势识别算法,该算法利用均值法去除噪声,根据物体颜色配合最大类间方差法对目标和背景进行区分,并使用BP神经网络进行手势的分类.实验表明,该算法对部分典型手势识别的准确率达到74.7%,具有较高的实际应用价值.
Abstract:
We study a kind of hand gesture recognition algorithm based on video. Average method is used in removing noise, the algorithm based on object color together with the OTSU is used in distinguishing target and background, and the BP neuron network is used in classifying hand gestures. Experiments show that the accuracy of the algorithm is 74.7%, so its application value is high.

参考文献/References:

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[3] 任海兵,徐光祜,林学阎.基于特征线条的手势识别[J].软件学报,2002,13(5):987-993.
[4] Javier Molina, Marcos Escudero-Vi(～overn)olo, Alessandro Signoriello, et al. Real-time user independent hand gesture recognition from time-of-flight camera video using static and dynamic models[J]. Machine Vision and Applications, 2013,24(1):187-204.
[5] 江立,阮秋琦.基于神经网络的手势识别技术研究[J].北京交通大学学报,2006,30(5):32-36.
[6] 石美红,毛江辉,梁颖,等.一种强高斯噪声的图像滤波方法[J].计算机应用,2007,27(7):1637-1640.
[7] 王晓凯,李锋.改进的自适应中值滤波算法[J].计算机工程与应用,2010,46(3):175-176.
[8] Otsu N. A threshold selection method from gray level histograms[J]. IEEE Trans Systems Man & Cybernetics, 1979,9(1):62-66.

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备注/Memo

收稿日期: 2013-05-03
*通信作者: 何良华(1977—),男,博士,副研究员,研究方向为认知计算、图像处理、模式识别及机器学习等.

更新日期/Last Update: 2013-06-30