Please use this identifier to cite or link to this item:
http://dspace.cityu.edu.hk/handle/2031/5875| Title: | A new descriptor for 3D trajectory recognition via modified CDTW |
| Authors: | Yang, Jianyu (楊劍宇) Dr. Li, Youfu Prof. Wang, Keyi |
| Department: | Yang, Jianyu : Department of Manufacturing Engineering and Engineering Management / CityU-USTC Joint Advance Research Centre (Suzhou); Dr. Li, Youfu : Department of Manufacturing Engineering and Engineering Management; Prof. Wang, Keyi : Department of Manufacturing Engineering and Engineering Management / CityU-USTC Joint Advance Research Centre (Suzhou) |
| Issue Date: | Aug-2010 |
| Award: | Won the "Best Paper in Automation" Award in 2010 IEEE International Conference on Automation and Logistics (IEEE ICAL 2010) |
| Supervisor: | Dr. Li, Youfu |
| Type: | Article |
| 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. |
| Appears in Collections: | Student Works With External Awards |
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| award_news.html | 112 B | HTML | View/Open | |
| award_winning_work.html | 147 B | HTML | View/Open |
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