Automated recognition of sequential patterns in captured motion streams

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

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Author(s)

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Detail(s)

Original languageEnglish
Title of host publicationWeb-Age Information Management
Subtitle of host publication11th International Conference, WAIM 2010, Proceedings
PublisherSpringer Verlag
Pages250-261
Volume6184 LNCS
ISBN (Print)3642142451, 9783642142451
Publication statusPublished - 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6184 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Title11th International Conference on Web-Age Information Management, WAIM 2010
PlaceChina
CityJiuzhaigou
Period15 - 17 July 2010

Abstract

Motion capture data has been frequently used in computer animation and video games. Motions are often captured in a continuous manner such that a motion contains multiple patterns joined sequentially without obvious breakpoints between them. It is challenging to learn the captured motions as it requires both segmentation and recognition. In this paper, a new method based on an extension of open-end dynamic time warping (OE-DTW) is proposed to automatically segment and recognize sequential patterns in motion streams. To enhance the performance, we introduce a global constraint of K-Repetition on OE-DTW and a flexible end point detection scheme. In the experiments, we applied our method on different classes of dance motions and demonstrated the effectiveness of our method by comparing with existing approach. © 2010 Springer-Verlag.

Research Area(s)

  • continuous dynamic programming, Dance motion, global constraint, open-end DTW, segmentation and recognition, sequential pattern

Citation Format(s)

Automated recognition of sequential patterns in captured motion streams. / Deng, Liqun; Leung, Howard; Gu, Naijie; Yang, Yang.

Web-Age Information Management: 11th International Conference, WAIM 2010, Proceedings. Vol. 6184 LNCS Springer Verlag, 2010. p. 250-261 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6184 LNCS).

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review