[1]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,2016,26(02):101-104.
　ZHU Jia-xin[],GUO De-quan[],LAN Shi-yong[][]. People Counting Based on Inter-frame Features and Connected Domain Detection[J].,2016,26(02):101-104.
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基于帧间特征和连通域检测的人数统计()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
26
期数:
2016年02期
页码:
101-104
栏目:
应用开发研究
出版日期:
2016-02-10

文章信息/Info

Title:
 People Counting Based on Inter-frame Features and Connected Domain Detection
文章编号:
1673-629X（2016)02-0101-04
作者:
 朱家新[1] ; 郭德全[2];  兰时勇[1][3]
 1.四川大学 视觉合成图形图像技术国防重点学科实验室；2.成都信息工程大学 控制工程学院；3.四川大学 计算机学院
Author(s):
 ZHU Jia-xin[1] ; GUO De-quan[2];  LAN Shi-yong[1][3]
关键词:
 ; 人头特征;  跟踪; 计数; 连通域
Keywords:
 ; head features; tracking; counting; connected domain
分类号:
TP391
文献标志码:
A
摘要:
 为了更好地管理机场、火车站及汽车站等人流密集的固定场所，文中提出一种简单、高效的人员流量统计算法。首先，将视频序列中的图像转化为灰度图像，利用帧差法提取前景图像并将其二值化；然后，利用上下边缘点匹配的连通域检测算法对前景图像中的连通域进行提取，利用人头的形状信息和灰度信息对连通域进行筛选；最后，通过对人头连通域的跟踪实现人数统计。在提出的人头跟踪计数算法中，利用人头连通域在视频帧中的信息和容器对人头特征进行跟踪计数。实验结果表明，该算法具有良好的人头跟踪和计数效果。
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.

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更新日期/Last Update: 2016-04-15