DocumentCode
2661116
Title
Features extraction of 3D motion data based on spatial time axis
Author
Jian, Xiang ; Hongli, Zhu
Author_Institution
Sch. of Inf. & Electron. Eng., ZheJiang Univ. of Sci. & Technol., Hangzhou
fYear
2008
fDate
16-18 July 2008
Firstpage
522
Lastpage
525
Abstract
Feature extraction is the basis of processing human motion data correctly. In this paper, a new extraction method based on 3D features is proposed. Space transformations on time axis of each human joint are extracted, which describe 3D relationships of each joint and represent a part of the whole motion independently. So completely motion features are computed by merging these features. Experiment results show that our approaches are effective for motion data analysis.
Keywords
feature extraction; image motion analysis; 3D features; 3D motion data; features extraction; human motion data; space transformation; spatial time axis; Cities and towns; Data engineering; Data mining; Educational institutions; Feature extraction; Humans; Joints; Merging; Motion analysis; Space technology; 3D Human Motion; Feature Extraction; Joint;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference, 2008. CCC 2008. 27th Chinese
Conference_Location
Kunming
Print_ISBN
978-7-900719-70-6
Electronic_ISBN
978-7-900719-70-6
Type
conf
DOI
10.1109/CHICC.2008.4605216
Filename
4605216
Link To Document