Please use this identifier to cite or link to this item: https://doi.org/10.1145/1459359.1459456
Title: Real-time human action recognition by luminance field trajectory analysis
Authors: Li, Z.
Fu, Y.
Huang, T.S.
Yan, S. 
Keywords: Human action recognition
Video analysis
Video understanding
Issue Date: 2008
Source: Li, Z.,Fu, Y.,Huang, T.S.,Yan, S. (2008). 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 : 671-675. ScholarBank@NUS Repository. https://doi.org/10.1145/1459359.1459456
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. Copyright 2008 ACM.
Source Title: MM'08 - Proceedings of the 2008 ACM International Conference on Multimedia, with co-located Symposium and Workshops
URI: http://scholarbank.nus.edu.sg/handle/10635/71566
ISBN: 9781605583037
DOI: 10.1145/1459359.1459456
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