TY - JOUR
T1 - A concise tutorial on human motion tracking and recognition with Microsoft Kinect
AU - Zhao, Wenbing
PY - 2016/9/1
Y1 - 2016/9/1
N2 - 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.
AB - 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.
KW - Microsoft Kinect
KW - depth camera
KW - human motion tracking and recognition
KW - machine learning
UR - https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84984906729&origin=inward
UR - https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=84984906729&origin=inward
U2 - 10.1007/s11432-016-5604-y
DO - 10.1007/s11432-016-5604-y
M3 - Article
SN - 1674-733X
VL - 59
JO - Science China Information Sciences
JF - Science China Information Sciences
IS - 9
M1 - 93101
ER -