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A new descriptor for 3D trajectory recognition via modified CDTW

Jianyu Yang, Youfu Li, K.R. Wang

Year
2010
Citations
8

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

Artificial intelligenceComputer scienceTrajectoryMotion (physics)Invariant (physics)Matching (statistics)Computer visionPattern recognition (psychology)Mathematics

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