Human action recognition and retrieval using sole depth information

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

*Corresponding author for this work

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

54 Scopus citations

Abstract

Observing the widespread use of Kinect-like depth cameras, in this work, we investigate into the problem of using sole depth data for human action recognition and retrieval in videos. We proposed the use of simple depth descriptors without learning optimization to achieve promising performances as compatible to those of the leading methods based on color images and videos, and can be effectively applied for real-time applications. Because of the infrared nature of depth cameras, the proposed approach will be especially useful under poor lighting conditions, e.g. the surveillance environments without sufficient lighting. Meanwhile, we proposed a large Depth-included Human Action video dataset, namely DHA, which contains 357 videos of performed human actions belonging to 17 categories. To the best of our knowledge, the DHA is one of the largest depth-included video datasets of human actions.

Original languageEnglish
Title of host publicationMM 2012 - Proceedings of the 20th ACM International Conference on Multimedia
Pages1053-1056
Number of pages4
DOIs
StatePublished - 26 Dec 2012
Event20th ACM International Conference on Multimedia, MM 2012 - Nara, Japan
Duration: 29 Oct 20122 Nov 2012

Publication series

NameMM 2012 - Proceedings of the 20th ACM International Conference on Multimedia

Conference

Conference20th ACM International Conference on Multimedia, MM 2012
CountryJapan
CityNara
Period29/10/122/11/12

Keywords

  • depth information
  • human action recognition
  • human action video retrieval

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    Lin, Y. C., Hu, M. C., Cheng, W-H., Hsieh, Y. H., & Chen, H. M. (2012). Human action recognition and retrieval using sole depth information. In MM 2012 - Proceedings of the 20th ACM International Conference on Multimedia (pp. 1053-1056). (MM 2012 - Proceedings of the 20th ACM International Conference on Multimedia). https://doi.org/10.1145/2393347.2396381