版权说明 操作指南
首页 > 成果 > 详情

Depth sensor based human detection for indoor surveillance

认领
导出
Link by 万方学术期刊
反馈
分享
QQ微信 微博
成果类型:
期刊论文
作者:
Hu, Tao;Zhang, Hao*;Zhu, Xinyan;Clunis, Julaine;Yang, Gelan
通讯作者:
Zhang, Hao
作者机构:
[Zhu, Xinyan; Hu, Tao] Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430079, Hubei, Peoples R China.
[Zhang, Hao] CCNU, Natl Engn Res Ctr E Learning, Wuhan 430072, Hubei, Peoples R China.
[Zhu, Xinyan; Hu, Tao] Wuhan Univ, Collaborat Innovat Ctr Geospatial Technol, Wuhan 430079, Hubei, Peoples R China.
[Hu, Tao; Clunis, Julaine] Kent State Univ, Sch Informat, Kent, OH 44240 USA.
[Yang, Gelan] Hunan City Univ, Dept Informat Sci & Engn, Yiyang 413000, Peoples R China.
通讯机构:
[Zhang, Hao] C
CCNU, Natl Engn Res Ctr E Learning, Wuhan 430072, Hubei, Peoples R China.
语种:
英文
关键词:
Depth sensor;Foreground extraction;People detection;ViBe;Mean-Shift
期刊:
Future Generation Computer Systems
ISSN:
0167-739X
年:
2018
卷:
88
期:
1
页码:
540-551
基金类别:
We are grateful to the volunteers who participated in data collection. This research is supported by the National Key Research and Development Program of China (No. 2016YFB0502204 ), the National Natural Science Foundation of China (No. 61702211 ), the Funds for the Central Universities (No. 413000010 ), the Open Fund of State Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University (No. 16 (03) ), and the National Key Technology Research and Development Program (No. 2012BAH35B03 ).
机构署名:
本校为通讯机构
院系归属:
国家数字化学习工程技术研究中心
摘要:
Human detection is a popular topic and difficult problem in surveillance. This paper presents a research on human detection in complex indoor space utilizing a depth sensor. In recent years, target detection methods based on RGB-D data mainly include background learning, and feature detection operator. The former method depends on the initial background knowledge obtained from the first couple of frames in the video, and the length of frames decides detection quality. The latter method is more time intensive, and insufficient training samples w...

反馈

验证码:
看不清楚,换一个
确定
取消

成果认领

标题:
用户 作者 通讯作者
请选择
请选择
确定
取消

提示

该栏目需要登录且有访问权限才可以访问

如果您有访问权限,请直接 登录访问

如果您没有访问权限,请联系管理员申请开通

管理员联系邮箱:yun@hnwdkj.com