DocumentCode
2320832
Title
A new descriptor for 3D trajectory recognition via modified CDTW
Author
Yang, Jianyu ; Li, Y.F. ; Wang, Keyi
Author_Institution
Dept. of Manuf. Eng. & Eng. Manage., City Univ. of Hong Kong, Hong Kong, China
fYear
2010
fDate
16-20 Aug. 2010
Firstpage
37
Lastpage
42
Abstract
Motion recognition via trajectory is important in motion analysis for many robotic tasks. A descriptor for motion trajectories plays an important role in the recognition algorithm. Existing invariant descriptors and discrete matching algorithms are not flexible enough under certain circumstances for recognition. In this paper we propose a new descriptor to solve this problem, with a modified data alignment method in the matching algorithm for motion recognition. Experimental results demonstrate the effectiveness of the method in the motion recognition.
Keywords
image matching; image motion analysis; robots; solid modelling; time warp simulation; 3D trajectory recognition; continuous dynamic time warping; discrete matching algorithms; invariant descriptors; modified CDTW; modified data alignment method; motion analysis; motion recognition; robotic tasks; Algorithm design and analysis; Classification algorithms; Interpolation; Noise; Shape; Three dimensional displays; Trajectory;
fLanguage
English
Publisher
ieee
Conference_Titel
Automation and Logistics (ICAL), 2010 IEEE International Conference on
Conference_Location
Hong Kong and Macau
Print_ISBN
978-1-4244-8375-4
Electronic_ISBN
978-1-4244-8374-7
Type
conf
DOI
10.1109/ICAL.2010.5585379
Filename
5585379
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