Abstract: In this paper, a general approach for human action recognition is applied for classifying human movements into action classes .
The propose method uses Kinect for capturing depth  stream. The system performs preprocessing on depth information for reducing noisy
pixels and getting depth information in appropriate format. The background subtraction method is used for extracting region o f interest i.e.
human. The system extracts contours of person. The Hu moments are extracted from contours of person for training action classifier. The
Support Vector Machine (SVM) is used for classifying human activities.

 

Keywords: Contours, Hu moments, Support Vector Machine

个人感觉挺水的 ~~

特征 ：深度图像中抠出的轮廓的Hu距

分类器 ： svm

一个动作包含很多帧深度图像，所以它的训练和测试数据都是已经分割好的

一个训练样本就是一个动作中每帧的特征构成的矩阵吧，猜测~~

Human Action Recognition Using Kinect