KMS Of Academy of mathematics and systems sciences, CAS
Real-Time Facial Pose Estimation and Tracking by Coarse-to-Fine Iterative Optimization | |
Yang, Xiaolong1,2; Jia, Xiaohong1,2; Yuan, Mengke3; Yan, Dong-Ming3 | |
2020-10-01 | |
Source Publication | TSINGHUA SCIENCE AND TECHNOLOGY
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ISSN | 1007-0214 |
Volume | 25Issue:5Pages:690-700 |
Abstract | 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. |
Keyword | facial pose recognition facial pose estimation real-time tracking |
DOI | 10.26599/TST.2020.9010001 |
Indexed By | SCI |
Language | 英语 |
Funding Project | 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 Research Area | Computer Science ; Engineering |
WOS Subject | Computer Science, Information Systems ; Computer Science, Software Engineering ; Engineering, Electrical & Electronic |
WOS ID | WOS:000543490100013 |
Publisher | TSINGHUA UNIV PRESS |
Citation statistics | |
Document Type | 期刊论文 |
Identifier | http://ir.amss.ac.cn/handle/2S8OKBNM/51781 |
Collection | 中国科学院数学与系统科学研究院 |
Corresponding Author | Jia, Xiaohong |
Affiliation | 1.Chinese Acad Sci, Acad Math & Syst Sci, Key Lab Math Mechanizat, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China |
Recommended Citation 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. |
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