Adelaide Research & Scholarship
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https://hdl.handle.net/2440/56302
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| Type: | Conference paper |
| Title: | A re-evaluation of mixture-of-Gaussian background modeling |
| Author: | Wang, H. Suter, D. |
| Citation: | IEEE International Conference on Acoustics, Speech, and Signal Processing : proceedings March 18-23, 2005, Pennsylvania Convention Center / Marriott Hotel, Philadelphia, Pennsylvania, USA / sponsored by the Institute of Electrical and Electronics Engineers, Signal Processing Society; volume 2: pp.1017-1020 |
| Publisher: | IEEE |
| Publisher Place: | Online |
| Issue Date: | 2005 |
| Series/Report no.: | International Conference on Acoustics Speech and Signal Processing ICASSP |
| ISBN: | 0780388747 9780780388741 |
| ISSN: | 1520-6149 |
| Conference Name: | IEEE International Conference on Acoustics, Speech and Signal Processing (30th : 2005 : Philadelphia, Pa.) |
| Statement of Responsibility: | Hanzi Wang and David Suter |
| Abstract: | The mixture of Gaussians (MOG) has been widely used for robustly modeling complicated backgrounds, especially those with small repetitive movements (such as leaves, bushes, rotating fan, ocean waves, rain). The performance of MOG can be greatly improved by tackling several practical issues. In this paper, we quantitatively evaluate (using the Wallflower benchmarks) the performance of the MOG with and without our modifications. The experimental results show that the MOG, with our modifications, can achieve much better results - even outperforming other state-of-the-art methods. |
| Description: | © Copyright 2005 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. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. |
| DOI: | 10.1109/ICASSP.2005.1415580 |
| Published version: | http://dx.doi.org/10.1109/icassp.2005.1415580 |
| Appears in Collections: | Aurora harvest 5 Computer Science publications |
Files in This Item:
| File | Description | Size | Format | |
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| hdl_56302.pdf | 1.7 MB | Publisher's PDF | View/Open |
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