Human action search based on dynamic shape volumes

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)


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.

Original languageEnglish
Title of host publicationAdvances in Multimedia Modeling - 19th International Conference, MMM 2013, Proceedings
Number of pages11
EditionPART 2
Publication statusPublished - 2013 Dec 1
Event19th International Conference on Advances in Multimedia Modeling, MMM 2013 - Huangshan, China
Duration: 2013 Jan 72013 Jan 9

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume7733 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other19th International Conference on Advances in Multimedia Modeling, MMM 2013

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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