Real-time human action recognition by luminance field trajectory analysis

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

doi:10.1145/1459359.1459456

Real-time human action recognition by luminance field trajectory analysis

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

Coordinated Science Lab

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English (US)
Title of host publication	MM'08 - Proceedings of the 2008 ACM International Conference on Multimedia, with co-located Symposium and Workshops
Pages	671-675
Number of pages	5
DOIs	https://doi.org/10.1145/1459359.1459456
State	Published - Dec 1 2008
Event	16th ACM International Conference on Multimedia, MM '08 - Vancouver, BC, Canada Duration: Oct 26 2008 → Oct 31 2008

Publication series

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

Other

Other	16th ACM International Conference on Multimedia, MM '08
Country	Canada
City	Vancouver, BC
Period	10/26/08 → 10/31/08

Keywords

Human action recognition
Video analysis
Video understanding

ASJC Scopus subject areas

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

Access to Document

10.1145/1459359.1459456

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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

Real-time human action recognition by luminance field trajectory analysis. / Li, Zhu; Fu, Yun; Huang, Thomas S; Yan, Shuicheng.

MM'08 - Proceedings of the 2008 ACM International Conference on Multimedia, with co-located Symposium and Workshops. 2008. p. 671-675 (MM'08 - Proceedings of the 2008 ACM International Conference on Multimedia, with co-located Symposium and Workshops).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Li, Z, Fu, Y, Huang, TS & 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. MM'08 - Proceedings of the 2008 ACM International Conference on Multimedia, with co-located Symposium and Workshops, pp. 671-675, 16th ACM International Conference on Multimedia, MM '08, Vancouver, BC, Canada, 10/26/08. https://doi.org/10.1145/1459359.1459456

Li Z, Fu Y, Huang TS, Yan S. 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. 2008. p. 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

Li, Zhu ; Fu, Yun ; Huang, Thomas S ; Yan, Shuicheng. / Real-time human action recognition by luminance field trajectory analysis. MM'08 - Proceedings of the 2008 ACM International Conference on Multimedia, with co-located Symposium and Workshops. 2008. pp. 671-675 (MM'08 - Proceedings of the 2008 ACM International Conference on Multimedia, with co-located Symposium and Workshops).

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