A high level trajectory indexing method for real time 3D motion recognition

Jianyu Yang; Y. F. Li; Keyi Wang

doi:10.1109/ROBIO.2011.6181595

A high level trajectory indexing method for real time 3D motion recognition

Jianyu Yang
, Y. F. Li
, Keyi Wang

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

Abstract

Motion trajectory description plays an important role in motion recognition for many robotic tasks. The previous methods are too high in computational cost for real time recognition. In this paper, we propose a novel indexing method for motion trajectories as a high level descriptor for real time 3D motion recognition. Trajectories are segmented into basic segments and represented in segment level rather than point level. We index the trajectories by their segment sequences to recognize them. The computational cost is significantly decreased and the experimental results show that this method is effective and it can be used for real time motion recognition. © 2011 IEEE.

Original language	English
Title of host publication	2011 IEEE International Conference on Robotics and Biomimetics, ROBIO 2011
Pages	2061-2066
DOIs	https://doi.org/10.1109/ROBIO.2011.6181595
Publication status	Published - 2011
Event	2011 IEEE International Conference on Robotics and Biomimetics, IEEE ROBIO 2011 - Phuket, Thailand Duration: 7 Dec 2011 → 11 Dec 2011 https://ieeexplore.ieee.org/xpl/conhome/6175417/proceeding

Conference

Conference	2011 IEEE International Conference on Robotics and Biomimetics, IEEE ROBIO 2011
Place	Thailand
City	Phuket
Period	7/12/11 → 11/12/11
Internet address	https://ieeexplore.ieee.org/xpl/conhome/6175417/proceeding

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10.1109/ROBIO.2011.6181595

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@inproceedings{42655d1476254e60b03d91a3dfc5e284,

title = "A high level trajectory indexing method for real time 3D motion recognition",

abstract = "Motion trajectory description plays an important role in motion recognition for many robotic tasks. The previous methods are too high in computational cost for real time recognition. In this paper, we propose a novel indexing method for motion trajectories as a high level descriptor for real time 3D motion recognition. Trajectories are segmented into basic segments and represented in segment level rather than point level. We index the trajectories by their segment sequences to recognize them. The computational cost is significantly decreased and the experimental results show that this method is effective and it can be used for real time motion recognition. {\textcopyright} 2011 IEEE.",

author = "Jianyu Yang and Li, \{Y. F.\} and Keyi Wang",

year = "2011",

doi = "10.1109/ROBIO.2011.6181595",

language = "English",

isbn = "9781457721373",

pages = "2061--2066",

booktitle = "2011 IEEE International Conference on Robotics and Biomimetics, ROBIO 2011",

note = "2011 IEEE International Conference on Robotics and Biomimetics, IEEE ROBIO 2011 ; Conference date: 07-12-2011 Through 11-12-2011",

url = "https://ieeexplore.ieee.org/xpl/conhome/6175417/proceeding",

}

A high level trajectory indexing method for real time 3D motion recognition. / Yang, Jianyu; Li, Y. F.; Wang, Keyi.
2011 IEEE International Conference on Robotics and Biomimetics, ROBIO 2011. 2011. p. 2061-2066 6181595.

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

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AU - Yang, Jianyu

AU - Li, Y. F.

AU - Wang, Keyi

PY - 2011

Y1 - 2011

N2 - Motion trajectory description plays an important role in motion recognition for many robotic tasks. The previous methods are too high in computational cost for real time recognition. In this paper, we propose a novel indexing method for motion trajectories as a high level descriptor for real time 3D motion recognition. Trajectories are segmented into basic segments and represented in segment level rather than point level. We index the trajectories by their segment sequences to recognize them. The computational cost is significantly decreased and the experimental results show that this method is effective and it can be used for real time motion recognition. © 2011 IEEE.

AB - Motion trajectory description plays an important role in motion recognition for many robotic tasks. The previous methods are too high in computational cost for real time recognition. In this paper, we propose a novel indexing method for motion trajectories as a high level descriptor for real time 3D motion recognition. Trajectories are segmented into basic segments and represented in segment level rather than point level. We index the trajectories by their segment sequences to recognize them. The computational cost is significantly decreased and the experimental results show that this method is effective and it can be used for real time motion recognition. © 2011 IEEE.

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UR - https://www.scopus.com/pages/publications/84860750515#tab=impact

U2 - 10.1109/ROBIO.2011.6181595

DO - 10.1109/ROBIO.2011.6181595

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9781457721373

SP - 2061

EP - 2066

BT - 2011 IEEE International Conference on Robotics and Biomimetics, ROBIO 2011

T2 - 2011 IEEE International Conference on Robotics and Biomimetics, IEEE ROBIO 2011

Y2 - 7 December 2011 through 11 December 2011

ER -

A high level trajectory indexing method for real time 3D motion recognition

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