Framework for a portable gesture interface

Sébastien Wagner, B. Alefs, C. Picus
{"title":"Framework for a portable gesture interface","authors":"Sébastien Wagner, B. Alefs, C. Picus","doi":"10.1109/FGR.2006.54","DOIUrl":null,"url":null,"abstract":"Gesture recognition is a valuable extension for interaction with portable devices. This paper presents a framework for interaction by hand gestures using a head mounted camera system. The framework includes automatic activation using AdaBoost hand detection, tracking of chromatic and luminance color modes based on adaptive mean shift and pose recognition using template matching of the polar histogram. The system achieves 95% detection rate and 96% classification accuracy at real time processing, for a non-static camera setup and cluttered background","PeriodicalId":109260,"journal":{"name":"7th International Conference on Automatic Face and Gesture Recognition (FGR06)","volume":"143 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"17","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"7th International Conference on Automatic Face and Gesture Recognition (FGR06)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FGR.2006.54","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 17

Abstract

Gesture recognition is a valuable extension for interaction with portable devices. This paper presents a framework for interaction by hand gestures using a head mounted camera system. The framework includes automatic activation using AdaBoost hand detection, tracking of chromatic and luminance color modes based on adaptive mean shift and pose recognition using template matching of the polar histogram. The system achieves 95% detection rate and 96% classification accuracy at real time processing, for a non-static camera setup and cluttered background
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
用于便携式手势界面的框架
手势识别是与便携式设备交互的一个有价值的扩展。本文提出了一个使用头戴式相机系统进行手势交互的框架。该框架包括基于AdaBoost手部检测的自动激活、基于自适应均值移位的颜色和亮度模式跟踪以及基于极坐标直方图模板匹配的姿态识别。在非静态摄像机设置和杂乱背景下,该系统在实时处理中实现了95%的检测率和96%的分类准确率
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Tracking using dynamic programming for appearance-based sign language recognition Multi-view face recognition by nonlinear dimensionality reduction and generalized linear models Face recognition by projection-based 3D normalization and shading subspace orthogonalization Hierarchical ensemble of Gabor Fisher classifier for face recognition Reliable and fast tracking of faces under varying pose
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1