A concise tutorial on human motion tracking and recognition with Microsoft Kinect

被引：26
|
作者：
Zhao, Wenbing [1 ]
机构：
[1] Cleveland State Univ, Dept Elect Engn & Comp Sci, Cleveland, OH 44115 USA
来源：
SCIENCE CHINA-INFORMATION SCIENCES | 2016年 / 59卷 / 09期
关键词：
Microsoft Kinect; depth camera; human motion tracking and recognition; machine learning;
D O I：
10.1007/s11432-016-5604-y
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper provides a concise tutorial on the Microsoft Kinect technology and the state of art research on human motion tracking and recognition with Microsoft Kinect. A pre-requisite for human motion recognition is feature extraction. There are two types of feature extraction methods: skeleton joint based, and depth/color image based. Given a set of feature vectors, a motion could be recognized using machine learning, direct comparison, or rule-based methods. We also outline future research directions on the Kinect technology.
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页数：5
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