Complex Background Modeling and Motion Detection based on Texture Pattern Flow
| File | Size | Format | |
|---|---|---|---|
| 52996_1.pdf | 225Kb | Adobe PDF | View |
| Title | Complex Background Modeling and Motion Detection based on Texture Pattern Flow |
|---|---|
| Author | Zhang, Baochang; Gao, Yongsheng; Zhong, Bineng |
| Publication Title | Proceedings of the 19th International Conference on Pattern Recognition (ICPR) |
| Editor | IAPR |
| Year Published | 2008 |
| Place of publication | Los Alamitos, California, USA |
| Publisher | IEEE Computer Society |
| Abstract | This paper proposes a novel Texture Pattern Flow (TPF) for complex background modeling and motion detection. The Pattern Flow is proposed to encode the binary pattern changes among the neighborhoods in the space-time domain. To model the distribution of the TPF, the TPF integral histograms are used to extract the discriminative features to represent the input video. Experimental results on the public videos testify the effectiveness of the proposed method in comparison to LBP and GMM based background modeling methods. |
| Peer Reviewed | Yes |
| Published | Yes |
| Publisher URI | http://ieeexplore.ieee.org/servlet/opac?punumber=4740202 |
| Alternative URI | http://dx.doi.org/10.1109/ICPR.2008.4761397 |
| Copyright Statement | Copyright 2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. |
| ISBN | 978-1-4244-2175-6 |
| Conference name | The 19th International Conference on Pattern Recognition (ICPR) |
| Location | Tampa, Florida, USA |
| Date From | 2008-12-08 |
| Date To | 2008-12-11 |
| URI | http://hdl.handle.net/10072/22886 |
| Date Accessioned | 2009-02-04 |
| Date Available | 2009-05-12T06:39:24Z |
| Language | en_AU |
| Research Centre | Institute for Integrated and Intelligent Systems |
| Faculty | Faculty of Science, Environment, Engineering and Technology |
| Subject | PRE2009-Computer Vision |
| Publication Type | Conference Publications (Full Written Paper - Refereed) |
| Publication Type Code | e1 |
Please use this identifier to cite this record: http://hdl.handle.net/10072/22886
Griffith University copyright notice
Copyright in individual works within the repository belongs to their authors or publishers. You may make a print or digital copy of a work for your personal non-commercial use. All other rights are reserved, except for fair dealings or other user rights granted by the copyright laws of your country.
Footer information
Back to top