Indexing and retrieval of human motion data based on a growing self-organizing map

Da Cheng Yu, Wei Guang Teng

研究成果: Conference contribution

1 引文 斯高帕斯(Scopus)

摘要

As low-cost depth cameras are released recently, motion data containing 3D coordinates of skeleton joints during a time period can be directly captured. Nevertheless, analyzing the motion data is usually a challenging problem and requires huge computation costs because of the high-dimensionality. Among several alternatives, the self-organizing map (SOM) is verified to be an effective technique to handle such motion data. Specifically, a captured motion sequence can be easily and precisely mapped to form an indexed motion string through the use of a trained SOM. However, the training process of the SOM is high computation complexity and is thus typically tedious. In view of this, we propose in this work to incorporate a hierarchical structure into the SOM technique. Generally speaking, our approach named as GQSOM (growing quadtree self-organizing map) helps to significantly reduce the required computation complexity while preserving the effectiveness of the SOM technique. Empirical studies using the WorkSU-10 exercise dataset show that our approach is both efficient and effective to perform indexing and retrieval tasks of motion data.

原文English
主出版物標題DSAA 2014 - Proceedings of the 2014 IEEE International Conference on Data Science and Advanced Analytics
編輯George Karypis, Longbing Cao, Wei Wang, Irwin King
發行者Institute of Electrical and Electronics Engineers Inc.
頁面66-71
頁數6
ISBN(電子)9781479969913
DOIs
出版狀態Published - 2014 三月 10
事件2014 IEEE International Conference on Data Science and Advanced Analytics, DSAA 2014 - Shanghai, China
持續時間: 2014 十月 302014 十一月 1

出版系列

名字DSAA 2014 - Proceedings of the 2014 IEEE International Conference on Data Science and Advanced Analytics

Other

Other2014 IEEE International Conference on Data Science and Advanced Analytics, DSAA 2014
國家China
城市Shanghai
期間14-10-3014-11-01

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Information Systems
  • Information Systems and Management

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  • 引用此

    Yu, D. C., & Teng, W. G. (2014). Indexing and retrieval of human motion data based on a growing self-organizing map. 於 G. Karypis, L. Cao, W. Wang, & I. King (編輯), DSAA 2014 - Proceedings of the 2014 IEEE International Conference on Data Science and Advanced Analytics (頁 66-71). [7058053] (DSAA 2014 - Proceedings of the 2014 IEEE International Conference on Data Science and Advanced Analytics). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/DSAA.2014.7058053