Please use this identifier to cite or link to this item:
|Title:||Pedestrian registration in static images with unconstrained background|
|Authors:||Fan, L. |
Human body registration
|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|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Jul 11, 2018
WEB OF SCIENCETM
checked on Jul 3, 2018
checked on Jul 13, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.