@inproceedings{6a584e65a2b6423f9873a10d1d204d78,
title = "Real-time human action recognition by luminance field trajectory analysis",
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.",
keywords = "Human action recognition, Video analysis, Video understanding",
author = "Zhu Li and Yun Fu and Huang, {Thomas S} and Shuicheng Yan",
year = "2008",
month = dec,
day = "1",
doi = "10.1145/1459359.1459456",
language = "English (US)",
isbn = "9781605583037",
series = "MM'08 - Proceedings of the 2008 ACM International Conference on Multimedia, with co-located Symposium and Workshops",
pages = "671--675",
booktitle = "MM'08 - Proceedings of the 2008 ACM International Conference on Multimedia, with co-located Symposium and Workshops",
note = "16th ACM International Conference on Multimedia, MM '08 ; Conference date: 26-10-2008 Through 31-10-2008",
}