Pedestrian registration in static images with unconstrained background

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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.

论文关键词:Human body registration,Statistical modeling,Similarity measure,Feature extraction,Image matching

论文评审过程:Received 26 November 2001, Revised 21 May 2002, Available online 12 December 2002.

论文官网地址:https://doi.org/10.1016/S0031-3203(02)00126-7