a face recognition approach using zernike moments for video surveillance
(2007) a face recognition approach using zernike moments for video surveillance. In Mendis, Priyan and Lai, Joseph and Dawson, Ed and Abbass, Hussein, Eds. Proceedings RNSA Security Technology Conference, pages pp. 341-355, Melbourne, Australia.
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Abstract
In this paper, a face recognition approach using Zernike moments is presented for the main purpose of detecting faces in surveillance cameras. Zernike moments are invariant to rotation and scale and these properties make them an appropriate feature for automatic face recognition. A Viola-Jones detector based on the Adaboost algorithm is employed for detecting the face within an image sequence. Preprocessing is carried out wherever it is needed. A fuzzy enhancement algorithm is also applied to achieve uniform illumination. Zernike moments are then computed from each detected facial image. The final classification is achieved using a kNN classifier. The performance of the proposed methodology is compared on three different benchmark datasets. The results illustrate the efficacy of Zernike moments for the face recognition problem in video surveillance.
| Item Type: | Conference Paper |
|---|---|
| Status: | Published |
| Keywords: | face recognition;surveillance;zernike;zernike moments; |
| Subjects: | 280000 Information, Computing and Communication Sciences > 280200 Artificial Intelligence and Signal and Image Processing > 280208 Computer Vision 280000 Information, Computing and Communication Sciences > 280200 Artificial Intelligence and Signal and Image Processing > 280203 Image Processing 280000 Information, Computing and Communication Sciences > 280200 Artificial Intelligence and Signal and Image Processing > 280207 Pattern Recognition |
| ID Code: | 9894 |
| Deposited By: | Wiliem, Arnold |
| Deposited On: | 03 October 2007 |
| Alternative Locations: | http://www.homelandsecurity.org.au/publications.html#social |
| Copyright Owner: | All rights reserved. Other than brief extracts, no part of this publication may be produced in any form without the written consent of the publisher. The Publisher makes no representation or warranty regarding the accuracy, timeliness, suitability or any other aspect of the information contained in this book and cannot accept any legal responsibility or liability for any errors or omissions that may be made |
| Copyright Statement: | Copyright 2007 Australian Homeland Security Research Centre |
| Additional Information: | The contents of this journal can be freely accessed online via the journal’s web page (see hypertext link). |