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 |
DOI | 10.26599/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
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