基于团块模型的行人阴影抑制算法  

A pedestrian shadow eliminating algorithm based on blob model

作　　者：金圣韬[1] 孟朝晖[1] 刘伟 

机构地区：[1]河海大学计算机与信息学院 [2]63780部队

出　　处：《计算机工程与科学》2014年第11期2203-2209,共7页Computer Engineering & Science

摘　　要：为有效解决行人阴影对行人跟踪产生的影响,提出一种基于团块模型的阴影抑制算法。该算法利用团块结构作为行人模型,通过计算团块的矩特征和团块垂直直方图,借助几何的方法获得疑似阴影区域。然后,将该疑似阴影区域的灰度、方向、中心位置作为参数对整个前景区域进行阴影建模,使得阴影区域更精确。最后,从行人模型中剔除阴影团块达到阴影抑制的效果。经过视频序列测试,本文算法对不同运动方向、不同数量的行人均有良好的阴影抑制效果,表明了该设计方案的有效性和准确性。To solve the problem of negative effect of shadows in pedestrian detection,a shadow eliminating algorithm based on blob model is proposed.We first describe the pedestrian model with blob structures,and then compute the blob＇s central moments and vertical histogram.With the help of these data and the a geometric method,the suspected shadow region can be obtained.After that,the rough approximation of the shadow region can be further refined through shadow modeling with several features including the intensity,orientation and center position of the shadow region.Finally,shadow blobs can be precisely eliminated from the pedestrian blob model.Experimental results demonstrate that different shadows under different conditions can be eliminated accurately and effectively.

关 键 词：阴影抑制 团块直方图 阴影建模 行人跟踪 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]