Real-time human action recognition by luminance field trajectory analysis

Zhu Li, Yun Fu, Thomas S Huang, Shuicheng Yan

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

Abstract

The explosive growth of video content in recent years fueled by the technological leaps in computing and communication has created new challenges for video content analysis that can serve applications in video surveillance, video searching and mining. Human action detection and recognition is one of the important tasks in this effort. In this paper, we present a luminance field manifold trajectory analysis based solution for human activity recognition, without explicit object level information extraction and understanding. This approach is computationally efficient and can operate in real time. The recognition performance is also comparable with the state of art in comparable set ups.

Original languageEnglish (US)
Title of host publicationMM'08 - Proceedings of the 2008 ACM International Conference on Multimedia, with co-located Symposium and Workshops
Pages671-675
Number of pages5
DOIs
StatePublished - Dec 1 2008
Event16th ACM International Conference on Multimedia, MM '08 - Vancouver, BC, Canada
Duration: Oct 26 2008Oct 31 2008

Publication series

NameMM'08 - Proceedings of the 2008 ACM International Conference on Multimedia, with co-located Symposium and Workshops

Other

Other16th ACM International Conference on Multimedia, MM '08
CountryCanada
CityVancouver, BC
Period10/26/0810/31/08

Keywords

  • Human action recognition
  • Video analysis
  • Video understanding

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Software

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  • Cite this

    Li, Z., Fu, Y., Huang, T. S., & Yan, S. (2008). Real-time human action recognition by luminance field trajectory analysis. In MM'08 - Proceedings of the 2008 ACM International Conference on Multimedia, with co-located Symposium and Workshops (pp. 671-675). (MM'08 - Proceedings of the 2008 ACM International Conference on Multimedia, with co-located Symposium and Workshops). https://doi.org/10.1145/1459359.1459456