基于骷髅图的头部检测快速计数

D. Merad, Kheir-Eddine Aziz, Nicolas Thome
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引用次数: 50

摘要

本文提出了一种计算人数的新方法。该方法基于对人体进行骨架图分割后的头部检测。计算骨架轮廓并将其分解为一组与头部、躯干和四肢相对应的部分。这种结构捕获了关于骨骼形状的最小信息。没有关于视点的假设,这是在头部姿势过程之后完成的。几个结果表明了标记过程的效率,特别是它的结构特性,用于检测人群中的头部。通过对特定区域行人数量的统计实验,对所提出的方法进行了验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fast People Counting Using Head Detection from Skeleton Graph
In this paper, we present a new method for counting people.This method is based on the head detection after asegmentation of the human body by skeleton graph process.The skeleton silhouette is computed and decomposed into aset of segments corresponding to the head , torso and limbs.This structure captures the minimal information about theskeleton shape. No assumption is made about the viewpoint,this is done after the head pose process. Several resultspresent the efficiency of the labelling process , particularlyits structural properties for the detection of heads within acrowd. A proposed method has been tested with an experimentof counting the number of pedestrians passing in aspecific area.
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