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On Indirect Assessment of Heart Rate in Video

Mikhail Kopeliovich, Konstantin Kalinin, Yuriy Mironenko, Mikhail Petrushan
CVPRW 2020 pp. 1260-1264
doi:10.1109/CVPRW50498.2020.00163 /cvprw/2020/kopeliovich2020cvprw-indirect/

Abstract

Problem of indirect assessment of heart rate in video is addressed. Several methods of indirect evaluations (adaptive baselines) were examined on Remote Physiological Signal Sensing challenge. Particularly, regression models of dependency of heart rate on estimated age and motion intensity were obtained on challenge’s train set. Accounting both motion and age in regression model led to top-quarter position in the leaderboard. Practical value of such adaptive baseline approaches is discussed. Although such approaches are considered as non-applicable in medicine, they are valuable as baseline for the photoplethysmography problem.

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Text

Kopeliovich et al. "On Indirect Assessment of Heart Rate in Video." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2020. doi:10.1109/CVPRW50498.2020.00163

Markdown

[Kopeliovich et al. "On Indirect Assessment of Heart Rate in Video." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2020.](https://mlanthology.org/cvprw/2020/kopeliovich2020cvprw-indirect/) doi:10.1109/CVPRW50498.2020.00163

BibTeX

@inproceedings{kopeliovich2020cvprw-indirect,
  title     = {{On Indirect Assessment of Heart Rate in Video}},
  author    = {Kopeliovich, Mikhail and Kalinin, Konstantin and Mironenko, Yuriy and Petrushan, Mikhail},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2020},
  pages     = {1260-1264},
  doi       = {10.1109/CVPRW50498.2020.00163},
  url       = {https://mlanthology.org/cvprw/2020/kopeliovich2020cvprw-indirect/}
}