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首页> 外文期刊>Pattern Recognition: The Journal of the Pattern Recognition Society >Pedestrian registration in static images with unconstrained background
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Pedestrian registration in static images with unconstrained background

机译:背景不受限制的静态图像中的行人配准

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摘要

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. (C) 2002 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved. [References: 35]
机译:本文介绍了一种用于背景不受约束的静态行人图像的人体轮廓配准方法。通过使用统计复合模型对有效的行人外观施加结构和纹理约束,匹配过程对于图像混乱是鲁棒的。实验结果表明,该方法在复杂背景下有效地记录行人轮廓。 (C)2002模式识别学会。由Elsevier Science Ltd.出版。保留所有权利。 [参考:35]

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