中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Real-Time Facial Pose Estimation and Tracking by Coarse-to-Fine Iterative Optimization

文献类型:期刊论文

作者Yang, Xiaolong1,2; Jia, Xiaohong1,2; Yuan, Mengke3; Yan, Dong-Ming3
刊名TSINGHUA SCIENCE AND TECHNOLOGY
出版日期2020-10-01
卷号25期号:5页码:690-700
ISSN号1007-0214
关键词facial pose recognition facial pose estimation real-time tracking
DOI10.26599/TST.2020.9010001
通讯作者Jia, Xiaohong(xhjia@amss.ac.cn)
英文摘要We present a novel and efficient method for real-time multiple facial poses estimation and tracking in a single frame or video. First, we combine two standard convolutional neural network models for face detection and mean shape learning to generate initial estimations of alignment and pose. Then, we design a bi-objective optimization strategy to iteratively refine the obtained estimations. This strategy achieves faster speed and more accurate outputs. Finally, we further apply algebraic filtering processing, including Gaussian filter for background removal and extended Kalman filter for target prediction, to maintain real-time tracking superiority. Only general RGB photos or videos are required, which are captured by a commodity monocular camera without any priori or label. We demonstrate the advantages of our approach by comparing it with the most recent work in terms of performance and accuracy.
资助项目National Natural Science Foundation of China[61872354] ; National Natural Science Foundation of China[61772523] ; National Natural Science Foundation of China[61620106003] ; National Natural Science Foundation of China[61802406] ; National Key R&D Program of China[2019YFB2204104] ; Beijing Natural Science Foundation[L182059] ; Beijing Natural Science Foundation[Z190004] ; Intelligent Science and Technology Advanced Subject Project of University of Chinese Academy of Sciences[115200S001] ; Alibaba Group through Alibaba Innovative Research Program
WOS研究方向Computer Science ; Engineering
语种英语
出版者TSINGHUA UNIV PRESS
WOS记录号WOS:000543490100013
资助机构National Natural Science Foundation of China ; National Key R&D Program of China ; Beijing Natural Science Foundation ; Intelligent Science and Technology Advanced Subject Project of University of Chinese Academy of Sciences ; Alibaba Group through Alibaba Innovative Research Program
源URL[http://ir.ia.ac.cn/handle/173211/40102]  
专题模式识别国家重点实验室_三维可视计算
通讯作者Jia, Xiaohong
作者单位1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
2.Chinese Acad Sci, Acad Math & Syst Sci, Key Lab Math Mechanizat, Beijing 100190, Peoples R China
3.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714
Yang, Xiaolong,Jia, Xiaohong,Yuan, Mengke,et al. Real-Time Facial Pose Estimation and Tracking by Coarse-to-Fine Iterative Optimization[J]. TSINGHUA SCIENCE AND TECHNOLOGY,2020,25(5):690-700.
APA Yang, Xiaolong,Jia, Xiaohong,Yuan, Mengke,&Yan, Dong-Ming.(2020).Real-Time Facial Pose Estimation and Tracking by Coarse-to-Fine Iterative Optimization.TSINGHUA SCIENCE AND TECHNOLOGY,25(5),690-700.
MLA Yang, Xiaolong,et al."Real-Time Facial Pose Estimation and Tracking by Coarse-to-Fine Iterative Optimization".TSINGHUA SCIENCE AND TECHNOLOGY 25.5(2020):690-700.

入库方式: OAI收割

来源:自动化研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。