首页> 外文会议>IEEE International Conference on Automatic Face and Gesture Recognition >Real time gesture recognition using eigenspace from multi-input image sequences
【24h】

Real time gesture recognition using eigenspace from multi-input image sequences

机译:使用来自多输入图像序列的EIGenspace实时手势识别

获取原文

摘要

The paper presents a real time gesture recognition method for interactive systems which can perform an interaction like human communication. This method recognizes a user's gesture using the eigenspace constructed from multi-input image sequences. Since this eigenspace represents the approximate 3D information of gesture, complicated gestures which may have self-occlusion and confusion in a single input image sequence can be recognized correctly. Moreover, the method is suitable for obtaining the degree information of gesture, such as speed and magnitude. Using the method, the authors realize a real time interactive system, the Virtual Conductor System, which can control music played by a computer using gesture recognition results, and indicates the usefulness of the method.
机译:本文提出了一种用于交互系统的实时手势识别方法,其可以执行人类通信等交互。该方法使用由多输入图像序列构造的eIgenspace识别用户的手势。由于该eIgenspace表示手势的近似3D信息,因此可以正确地识别可以具有在单个输入图像序列中具有自遮挡和混淆的复杂手势。此外,该方法适用于获得手势的程度信息,例如速度和幅度。使用该方法,作者实现了一个实时交互系统,虚拟导体系统,可以使用手势识别结果控制由计算机播放的音乐,并指示该方法的有用性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号