...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Machine Vision and Applications >Real-time user independent hand gesture recognition from time-of-flight camera video using static and dynamic models
【24h】

Real-time user independent hand gesture recognition from time-of-flight camera video using static and dynamic models

机译：使用静态和动态模型从飞行时间摄像头视频中进行实时用户独立手势识别

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The use of hand gestures offers an alternative to the commonly used human computer interfaces, providing a more intuitive way of navigating among menus and multimedia applications. This paper presents a system for hand gesture recognition devoted to control windows applications. Starting from the images captured by a time-of-flight camera (a camera that produces images with an intensity level inversely proportional to the depth of the objects observed) the system performs hand segmentation as well as a low-level extraction of potentially relevant features which are related to the morphological representation of the hand silhouette. Classification based on these features discriminates between a set of possible static hand postures which results, combined with the estimated motion pattern of the hand, in the recognition of dynamic hand gestures. The whole system works in real-time, allowing practical interaction between user and application.
机译：手势的使用为常用的人机界面提供了一种替代方法，从而提供了一种在菜单和多媒体应用程序之间导航的更直观的方法。本文提出了一种专门用于控制Windows应用程序的手势识别系统。从飞行时间照相机（照相机产生的强度水平与观察到的物体的深度成反比的图像）捕获的图像开始，系统执行手分割以及可能相关特征的低级提取与手部轮廓的形态表示有关。基于这些特征的分类可以区分一组可能的静态手势，这些手势与估计的手部运动模式相结合，可以识别动态手势。整个系统实时工作，允许用户和应用程序之间进行实际交互。

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