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基于帧间特征和连通域检测的人数统计

朱家新 郭德全 兰时勇

计算机技术与发展Issue(2):101-104,109,5.
计算机技术与发展Issue(2):101-104,109,5.DOI:10.3969/j.issn.1673-629X.2016.02.023

基于帧间特征和连通域检测的人数统计

People Counting Based on Inter-frame Features and Connected Domain Detection

朱家新 1郭德全 2兰时勇1

作者信息

  • 1. 四川大学 视觉合成图形图像技术国防重点学科实验室,四川 成都 610065
  • 2. 成都信息工程大学 控制工程学院,四川 成都 610225
  • 折叠

摘要

Abstract

In order to manage airports,railway stations and bus stations and other crowded places fixed with a better way,a simple and ef-ficient personnel traffic statistics algorithm was proposed. First,the video images was converted into grayscale images,and then the fore-ground image was extracted using the frame difference method and was converted into binary image. Second,connected domain was de-tected based on matching between the points of up-contour and down-contour,and then head features were extracted using shape and gray information of head. Finally,people was counted by tracking head connected domain. In this head tracking and counting algorithm presented,use the basic information and container of head connected domain in the video image for tracking and counting. Experimental results show that the algorithm has a good head tracking and counting results.

关键词

人头特征/跟踪/计数/连通域

Key words

head features/tracking/counting/connected domain

分类

信息技术与安全科学

引用本文复制引用

朱家新,郭德全,兰时勇..基于帧间特征和连通域检测的人数统计[J].计算机技术与发展,2016,(2):101-104,109,5.

基金项目

国家“863”高技术发展计划项目(2013AA013802) (2013AA013802)

计算机技术与发展

OACSTPCD

1673-629X

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