A new descriptor for 3D trajectory recognition via modified CDTW

Jianyu Yang; Y. F. Li; Keyi Wang

doi:10.1109/ICAL.2010.5585379

A new descriptor for 3D trajectory recognition via modified CDTW

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

10 Citations (Scopus)

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. © 2010 IEEE.

Original language	English
Title of host publication	2010 IEEE International Conference on Automation and Logistics, ICAL 2010
Pages	37-42
DOIs	https://doi.org/10.1109/ICAL.2010.5585379
Publication status	Published - 2010
Event	2010 IEEE International Conference on Automation and Logistics, ICAL 2010 - Shatin, Hong Kong, China Duration: 16 Aug 2010 → 20 Aug 2010

Conference

Conference	2010 IEEE International Conference on Automation and Logistics, ICAL 2010
Place	Hong Kong, China
City	Shatin
Period	16/08/10 → 20/08/10

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@inproceedings{dcb436421edf499b9f1ebe5b2a4527e9,

title = "A new descriptor for 3D trajectory recognition via modified CDTW",

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. {\textcopyright} 2010 IEEE.",

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

year = "2010",

doi = "10.1109/ICAL.2010.5585379",

language = "English",

isbn = "9781424483754",

pages = "37--42",

booktitle = "2010 IEEE International Conference on Automation and Logistics, ICAL 2010",

note = "2010 IEEE International Conference on Automation and Logistics, ICAL 2010 ; Conference date: 16-08-2010 Through 20-08-2010",

}

TY - GEN

T1 - A new descriptor for 3D trajectory recognition via modified CDTW

AU - Yang, Jianyu

AU - Li, Y. F.

AU - Wang, Keyi

PY - 2010

Y1 - 2010

N2 - 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. © 2010 IEEE.

AB - 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. © 2010 IEEE.

UR - https://www.scopus.com/pages/publications/78149433189

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-78149433189&origin=recordpage

U2 - 10.1109/ICAL.2010.5585379

DO - 10.1109/ICAL.2010.5585379

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

SN - 9781424483754

SP - 37

EP - 42

BT - 2010 IEEE International Conference on Automation and Logistics, ICAL 2010

T2 - 2010 IEEE International Conference on Automation and Logistics, ICAL 2010

Y2 - 16 August 2010 through 20 August 2010

ER -

A new descriptor for 3D trajectory recognition via modified CDTW

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