Face and Gesture Recognition Using Subspace Method for Human-Robot Interaction
Face and Gesture Recognition Using Subspace Method for Human-Robot Interaction
复制标题
使用子空间方法进行人机交互的人脸和手势识别
DOI：
10.1007/978-3-540-30541-5_46
复制
发表时间：
2004
期刊：
影响因子：
--
通讯作者：
H. Ueno
中科院分区：
文献类型：
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作者：
Mohammed Hasanuzzaman;Zhang Tao;Vuthichai Ampornaramveth;M. Bhuiyan;Y. Shirai;H. Ueno
本文提出了一种用于人机交互的基于视觉的人脸和手势识别系统。通过使用子空间方法，从使用 YIQ 颜色表示系统分割的三个最大的类皮肤区域中检测面部和预定义的手部姿势。在这个子空间方法中，我们考虑每个类别或姿势的单独特征空间。每当特定图像帧处的三个类皮肤区域的组合与预定义的手势匹配时，就使用基于规则的方法来识别手势。这些手势命令通过TCP/IP网络发送给机器人进行人机交互。使用子空间方法姿势不变的人脸识别也已得到解决。通过与名为 AIBO 的娱乐机器人的交互，证明了该方法的有效性。
This paper presents a vision-based face and gesture recognition system for human-robot interaction. By using subspace method, face and predefined hand poses are detected from the three largest skin-like regions that are segmented using YIQ color representation system. In this subspace method we consider separate eigenspaces for each class or pose. Gesture is recognized using the rule-based approach whenever the combination of three skin-like regions at a particular image frame matches with the predefined gesture. These gesture commands are sent to robot through TCP/IP network for human-robot interaction. Using subspace method pose invariant face recognition has also been addressed. The effectiveness of this method has been demonstrated by interacting with an entertainment robot named AIBO.