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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 PublicationTSINGHUA SCIENCE AND TECHNOLOGY
ISSN1007-0214
Volume25Issue:5Pages:690-700
AbstractWe 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.
Keywordfacial pose recognition facial pose estimation real-time tracking
DOI10.26599/TST.2020.9010001
Indexed BySCI
Language英语
Funding ProjectNational 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 AreaComputer Science ; Engineering
WOS SubjectComputer Science, Information Systems ; Computer Science, Software Engineering ; Engineering, Electrical & Electronic
WOS IDWOS:000543490100013
PublisherTSINGHUA UNIV PRESS
Citation statistics
Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/51781
Collection中国科学院数学与系统科学研究院
Corresponding AuthorJia, Xiaohong
Affiliation1.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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