Please use this identifier to cite or link to this item: 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
Source: 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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