The 1st challenge on remote physiological signal sensing (RePSS) |
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Author: | Li, Xiaobai1; Han, Hu2; Niu, Xuesong2; |
Organizations: |
1Center for Machine Vision and Signal Analysis, University of Oulu, Finland 2Institute of Computing Technology, CAS. China 3STARS team, INRIA, France |
Format: | article |
Version: | accepted version |
Access: | open |
Online Access: | PDF Full Text (PDF, 2 MB) |
Persistent link: | http://urn.fi/urn:nbn:fi-fe202102195372 |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers,
2020
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Publish Date: | 2021-02-19 |
Description: |
AbstractRemote measurement of physiological signals from videos is an emerging topic. The topic draws great interests, but the lack of publicly available benchmark databases and a fair validation platform are hindering its further development. For this concern, we organize the first challenge on Remote Physiological Signal Sensing (RePSS), in which two databases of VIPL and OBF are provided as the benchmark for kin researchers to evaluate their approaches. The 1st challenge of RePSS focuses on measuring the average heart rate from facial videos, which is the basic problem of remote physiological measurement. This paper presents an overview of the challenge, including data, protocol, analysis of results and discussion. The top ranked solutions are highlighted to provide insights for researchers, and future directions are outlined for this topic and this challenge. see all
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Series: |
IEEE Computer Society Conference on Computer Vision and Pattern Recognition workshops |
ISSN: | 2160-7508 |
ISSN-E: | 2160-7516 |
ISSN-L: | 2160-7508 |
ISBN: | 978-1-7281-9360-1 |
ISBN Print: | 978-1-7281-9361-8 |
Pages: | 1274 - 1281 |
Article number: | 9150698 |
DOI: | 10.1109/CVPRW50498.2020.00165 |
OADOI: | https://oadoi.org/10.1109/CVPRW50498.2020.00165 |
Host publication: |
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) |
Conference: |
IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops |
Type of Publication: |
A4 Article in conference proceedings |
Field of Science: |
113 Computer and information sciences 213 Electronic, automation and communications engineering, electronics |
Subjects: | |
Funding: |
Xiaobai Li and Guoying Zhao’s work were supported by National Natural Science Foundation of China (Grant 61772419), and Academy of Finland (Grant 316765 and 323287). Hu Han’s work was supported in part by Natural Science Foundation of China (Grant 61672496). |
Academy of Finland Grant Number: |
316765 323287 |
Detailed Information: |
316765 (Academy of Finland Funding decision) 323287 (Academy of Finland Funding decision) |
Copyright information: |
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