版权说明 操作指南
首页 > 成果 > 详情

Multiple faces tracking using feature fusion and neural network in video

认领
导出
Link by DOI
反馈
分享
QQ微信 微博
成果类型:
期刊论文
作者:
Hu, Boxia;Zhao, Huihuang;Yang, Yufei;Zhou, Bo;Raj, Alex Noel Joseph
通讯作者:
Hu, B.
作者机构:
[Zhao, Huihuang; Yang, Yufei; Hu, Boxia] Hunan Univ, Coll Math & Econometr, Changsha 410082, Hunan, Peoples R China.
[Hu, Boxia] Hengyang Normal Univ, Coll Math & Stat, Hengyang 421002, Peoples R China.
[Yang, Yufei] Changsha Univ, Sch Comp Engn & Appl Math, Changsha 410003, Peoples R China.
[Zhou, Bo] Hunan Univ, Coll Comp Sci & Elect Engn, Changsha 410082, Hunan, Peoples R China.
[Raj, Alex Noel Joseph] Key Lab Digital Signal & Image Proc Guangdong, Shantou 515063, Peoples R China.
通讯机构:
[Hu, B.] C
College of Mathematics and Econometrics, China
College of Mathematics and Statistics, China
语种:
英文
关键词:
Face tracking;Feature fusion;Neural network;Occlusion
期刊:
Intelligent Automation and Soft Computing
ISSN:
1079-8587
年:
2020
卷:
26
期:
6
页码:
1549-1560
基金类别:
Funding Statement: The Project Supported by Scientific Research Fund of Hunan Provincial Education Department (16C0223), the Project of “Double First-Class” Applied Characteristic Discipline in Hunan Province (Xiangjiaotong [2018] 469), the Project of Hunan Provincial Key Laboratory (2016TP1020).
机构署名:
本校为其他机构
院系归属:
数学与统计学院
摘要:
Face tracking is one of the most challenging research topics in computer vision. This paper proposes a framework to track multiple faces in video sequences automatically and presents an improved method based on feature fusion and neural network for multiple faces tracking in a video. The proposed method mainly includes three steps. At first, it is face detection, where an existing method is used to detect the faces in the first frame. Second, faces tracking with feature fusion. Given a video that has multiple faces, at first, all faces in the f...

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