Dynamic trajectory indexing method for real time multiple object motion recognition

Jianyu Yang; Y. F. Li; Keyi Wang

Dynamic trajectory indexing method for real time multiple object 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

this paper, we present a method for real time recognition of multiple object motion. In the framework, 3D motion trajectories of different objects are represented by the view invariant Indexing of General Shape (IGS) method to extract the high level description. In the motion recognition stage, we design a Time Order Sequence (TOS) strategy to recognize the interactions among the parallel motions of multiple objects. As the parallel trajectories are indexed by IGS in time series, the temporal intervals of trajectories can be extracted directly from the indexing. The indexing is updated each time on receiving a new frame. Thus, this method is effective for real time applications. The system is tested to represent and recognize human motions with multiple body parts interaction. Experiments are conducted to evaluate the effectiveness of this method. Copyright © 2012 ibai-publishing.

Original language	English
Title of host publication	Advances in Mass Data Analysis of Images and Signals in Medicine, Biotechnology, Chemistry and Food Industry - 7th International Conference, MDA 2012, Proceedings
Pages	25-37
Publication status	Published - 2012
Event	7th International Conference on Mass Data Analysis of Signals and Images with Applications in Medicine, r/g/b Biotechnology, Food Industries and Dietetics, Biometry and Securitry, and Agriculture, MDA 2012 - Berlin, Germany Duration: 13 Jul 2012 → 20 Jul 2012

Conference

Conference	7th International Conference on Mass Data Analysis of Signals and Images with Applications in Medicine, r/g/b Biotechnology, Food Industries and Dietetics, Biometry and Securitry, and Agriculture, MDA 2012
Place	Germany
City	Berlin
Period	13/07/12 → 20/07/12

Research Keywords

Computer Vision
Motion Recognition
Tracking
Trajectory

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@inproceedings{8cbe72f5bc47441b8dcbfc4deb712829,

title = "Dynamic trajectory indexing method for real time multiple object motion recognition",

abstract = "this paper, we present a method for real time recognition of multiple object motion. In the framework, 3D motion trajectories of different objects are represented by the view invariant Indexing of General Shape (IGS) method to extract the high level description. In the motion recognition stage, we design a Time Order Sequence (TOS) strategy to recognize the interactions among the parallel motions of multiple objects. As the parallel trajectories are indexed by IGS in time series, the temporal intervals of trajectories can be extracted directly from the indexing. The indexing is updated each time on receiving a new frame. Thus, this method is effective for real time applications. The system is tested to represent and recognize human motions with multiple body parts interaction. Experiments are conducted to evaluate the effectiveness of this method. Copyright {\textcopyright} 2012 ibai-publishing.",

keywords = "Computer Vision, Motion Recognition, Tracking, Trajectory",

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

year = "2012",

language = "English",

isbn = "9783942952156",

pages = "25--37",

booktitle = "Advances in Mass Data Analysis of Images and Signals in Medicine, Biotechnology, Chemistry and Food Industry - 7th International Conference, MDA 2012, Proceedings",

note = "7th International Conference on Mass Data Analysis of Signals and Images with Applications in Medicine, r/g/b Biotechnology, Food Industries and Dietetics, Biometry and Securitry, and Agriculture, MDA 2012 ; Conference date: 13-07-2012 Through 20-07-2012",

}

Yang, J, Li, YF & Wang, K 2012, Dynamic trajectory indexing method for real time multiple object motion recognition. in Advances in Mass Data Analysis of Images and Signals in Medicine, Biotechnology, Chemistry and Food Industry - 7th International Conference, MDA 2012, Proceedings. pp. 25-37, 7th International Conference on Mass Data Analysis of Signals and Images with Applications in Medicine, r/g/b Biotechnology, Food Industries and Dietetics, Biometry and Securitry, and Agriculture, MDA 2012, Berlin, Germany, 13/07/12.

Dynamic trajectory indexing method for real time multiple object motion recognition. / Yang, Jianyu; Li, Y. F.; Wang, Keyi.
Advances in Mass Data Analysis of Images and Signals in Medicine, Biotechnology, Chemistry and Food Industry - 7th International Conference, MDA 2012, Proceedings. 2012. p. 25-37.

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

TY - GEN

T1 - Dynamic trajectory indexing method for real time multiple object motion recognition

AU - Yang, Jianyu

AU - Li, Y. F.

AU - Wang, Keyi

PY - 2012

Y1 - 2012

N2 - this paper, we present a method for real time recognition of multiple object motion. In the framework, 3D motion trajectories of different objects are represented by the view invariant Indexing of General Shape (IGS) method to extract the high level description. In the motion recognition stage, we design a Time Order Sequence (TOS) strategy to recognize the interactions among the parallel motions of multiple objects. As the parallel trajectories are indexed by IGS in time series, the temporal intervals of trajectories can be extracted directly from the indexing. The indexing is updated each time on receiving a new frame. Thus, this method is effective for real time applications. The system is tested to represent and recognize human motions with multiple body parts interaction. Experiments are conducted to evaluate the effectiveness of this method. Copyright © 2012 ibai-publishing.

AB - this paper, we present a method for real time recognition of multiple object motion. In the framework, 3D motion trajectories of different objects are represented by the view invariant Indexing of General Shape (IGS) method to extract the high level description. In the motion recognition stage, we design a Time Order Sequence (TOS) strategy to recognize the interactions among the parallel motions of multiple objects. As the parallel trajectories are indexed by IGS in time series, the temporal intervals of trajectories can be extracted directly from the indexing. The indexing is updated each time on receiving a new frame. Thus, this method is effective for real time applications. The system is tested to represent and recognize human motions with multiple body parts interaction. Experiments are conducted to evaluate the effectiveness of this method. Copyright © 2012 ibai-publishing.

KW - Computer Vision

KW - Motion Recognition

KW - Tracking

KW - Trajectory

UR - https://www.scopus.com/pages/publications/84896856654

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-84896856654&origin=recordpage

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

SN - 9783942952156

SP - 25

EP - 37

BT - Advances in Mass Data Analysis of Images and Signals in Medicine, Biotechnology, Chemistry and Food Industry - 7th International Conference, MDA 2012, Proceedings

T2 - 7th International Conference on Mass Data Analysis of Signals and Images with Applications in Medicine, r/g/b Biotechnology, Food Industries and Dietetics, Biometry and Securitry, and Agriculture, MDA 2012

Y2 - 13 July 2012 through 20 July 2012

ER -

Dynamic trajectory indexing method for real time multiple object motion recognition

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Research Keywords

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