首页> 外国专利> APPARATUS AND METHOD FOR GESTURE RECOGNITION USING MULTICLASS SUPPORT VECTOR MACHINE AND TREE CLASSIFICATION

APPARATUS AND METHOD FOR GESTURE RECOGNITION USING MULTICLASS SUPPORT VECTOR MACHINE AND TREE CLASSIFICATION

机译:基于多类支持向量机和树分类的手势识别装置及方法

摘要

Disclosed is a device for recognizing a gesture using a multi-class support vector machine (SVM) and tree classification. A three-dimensional information extracting unit extracts three-dimensional information on a user joint based on a gesture of a user which is inputted from a kinect sensor. A gesture classification tree designing unit designs a gesture classification tree in advance according to a basic pattern of a gesture to classify the extracted three-dimensional information according to the gesture classification tree. A chain code feature extracting unit extracts a feature vector of a chain code for the gesture. A gesture classifying unit classifies the gesture after learning by the multi-class SVM by using the chain code and histogram information for the gesture as the feature vector. According to the present invention, the device is able to accurately recognize a gesture through a natural user interface.
机译:公开了一种用于使用多类支持向量机(SVM)和树分类来识别手势的设备。三维信息提取单元基于从Kinect传感器输入的用户手势提取有关用户关节的三维信息。手势分类树设计单元根据手势的基本模式预先设计手势分类树,以根据手势分类树对提取的三维信息进行分类。链码特征提取单元提取用于手势的链码的特征向量。手势分类单元通过使用针对该手势的链码和直方图信息作为特征向量,在通过多类SVM学习之后对手势进行分类。根据本发明,该设备能够通过自然用户界面准确地识别手势。

著录项

相似文献

  • 专利
  • 外文文献
  • 中文文献
获取专利

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