Human action search based on dynamic shape volumes

Hong Ming Chen, Wen Huang Cheng, Min Chun Hu, Yan Ching Lin, Yung Huan Hsieh

研究成果: Conference contribution

1 引文 斯高帕斯(Scopus)

摘要

In this paper, an interactive system for human action video search is developed based on the dynamic shape volumes. The user is allowed to create a search query by freely and continuously posing any number of actions in front of the Kinect sensor. For the captured query video sequence and each data stream of the human action video database, we extracted useful shape properties on the basis of space-time volumes by exploiting the solution to the Poisson equation. Different from conventional learning-based human action recognition techniques, we apply approximate string matching (ASM) to achieve local alignment for the matching of two video sequences. The experiments demonstrate the effectiveness of our system in support of the user's search task.

原文English
主出版物標題Advances in Multimedia Modeling - 19th International Conference, MMM 2013, Proceedings
頁面99-109
頁數11
版本PART 2
DOIs
出版狀態Published - 2013 十二月 1
事件19th International Conference on Advances in Multimedia Modeling, MMM 2013 - Huangshan, China
持續時間: 2013 一月 72013 一月 9

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
號碼PART 2
7733 LNCS
ISSN(列印)0302-9743
ISSN(電子)1611-3349

Other

Other19th International Conference on Advances in Multimedia Modeling, MMM 2013
國家/地區China
城市Huangshan
期間13-01-0713-01-09

All Science Journal Classification (ASJC) codes

  • 理論電腦科學
  • 電腦科學(全部)

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