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https://doi.org/10.1016/S0031-3203(02)00126-7
| Title: | Pedestrian registration in static images with unconstrained background | Authors: | Fan, L. Sung, K.-K. Ng, T.-K. |
Keywords: | Feature extraction Human body registration Image matching Similarity measure Statistical modeling |
Issue Date: | 2002 | Citation: | Fan, L., Sung, K.-K., Ng, T.-K. (2002). Pedestrian registration in static images with unconstrained background. Pattern Recognition 36 (4) : 1019-1029. ScholarBank@NUS Repository. https://doi.org/10.1016/S0031-3203(02)00126-7 | Abstract: | This paper introduces a human body contour registration method for static pedestrian images with unconstrained backgrounds. By using a statistical compound model to impose structural and textural constraints on valid pedestrian appearances, the matching process is robust to image clutter. Experimental results show that the proposed method register pedestrian contours in complex backgrounds effectively. © 2002 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved. | Source Title: | Pattern Recognition | URI: | http://scholarbank.nus.edu.sg/handle/10635/39006 | ISSN: | 00313203 | DOI: | 10.1016/S0031-3203(02)00126-7 |
| Appears in Collections: | Staff Publications |
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