VIPL-HR-V2 is the second version of VIPL-HR database for remote heart rate (HR) estimation from face videos under less-constrained situations, which contains 2500 RGB videos of 500 subjects recorded with RealSense F200 camera with resolution of 960 by 720. For each subject we cut five clips of ten-second long videos from a thirty-second long videos with a five-second stride. More details can be found in the Readme file in the package.
Figure 1. Sample images of the VIPL-HR-V2 database.
Hu Han (hanhu[at]ict.ac.cn), Institute of Computing Technology, Chinese Academy of Sciences
Hao Lu (hao.lu[at]miracle.ict.ac.cn), Institute of Computing Technology, Chinese Academy of Sciences
Xuesong Niu (xuesong.niu[at]vipl.ict.ac.cn), Institute of Computing Technology, Chinese Academy of Sciences
The VIPL-HR-V2 dataset is
released to universities and research institutes for research purpose only. To
request a copy of the database, please do as follows:
Download the VIPL-HR-V2 Database Release Agreement, read it carefully, and complete it appropriately. Note that the agreement should be signed by a full-time staff member (that is, student is not acceptable). Then, please scan the signed agreement and send it to Dr. Han (hanhu[at]ict.ac.cn) using an official email address (that is, university or institute email address, and non-official email addresses such as Gmail and 163 are not acceptable). When we receive your reply, we would provide the download link to you.
• By using the VIPL-HR-V2 database, you are recommended to cite the following papers:
 Xiaobai Li, Hu Han, Hao Lu, Xuesong Niu, Zitong Yu, Antitza Dantcheva, Guoying Zhao, and Shiguang Shan, “The 1st Challenge on Remote Physiological Signal Sensing (RePSS).” In Proc. CVPR Workshops, 2020. [bibtex]
 Xuesong Niu, Shiguang Shan, Hu Han, and Xilin Chen, "RhythmNet: End-to-end Heart Rate Estimation from Face via Spatial-temporal Representation," IEEE Trans. Image Processing, vol. 29, pp. 2409-2423, 2020. [bibtex]
 Xuesong Niu, Hu Han, Shiguang Shan, and Xilin Chen, “VIPL-HR: A Multi-modal Database for Pulse Estimation from Less-constrained Face Video,” In Proc. ACCV, 2018. [bibtex]