DocumentCode
2452010
Title
Star skeleton for human behavior recognition
Author
Fan, Zhang ; Li, Guo ; Haixian, Lu ; Shu, Gui ; Jinkui, Li
Author_Institution
Dept. of Electron. Sci. & Technol., Univ. of Sci. & Technol. of China, Hefei, China
fYear
2012
fDate
16-18 July 2012
Firstpage
1046
Lastpage
1050
Abstract
Against to the traditional single-view two-dimensional body shape can not describe the diversity and ambiguity of human action, this paper present a 2D action recognition method based on human 3D star skeleton. It use multi-view two-dimensional body shape to describe and identify human action. The offline training process set up the 2D star skeleton codebook and 3D skeleton sequence. The online recognition process put up the vector quantization, get the matched 3D skeleton and then identify the human action. The experimental results show that this method has high recognition rate.
Keywords
emotion recognition; geometry; image sequences; shape recognition; vectors; 2D action recognition metho; 2D star skeleton codebook; 3D skeleton sequence; human 3D star skeleton; human behavior recognition; multiview two-dimensional body shape; offline training process; online recognition process; single-view two-dimensional body shape; vector quantization; Databases; Hidden Markov models; Humans; Image recognition; Skeleton; Solid modeling; Training;
fLanguage
English
Publisher
ieee
Conference_Titel
Audio, Language and Image Processing (ICALIP), 2012 International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4673-0173-2
Type
conf
DOI
10.1109/ICALIP.2012.6376770
Filename
6376770
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