Color-distortion filtering for remote photoplethysmography

W. Wang, A.C. den Brinker, S. Stuijk, G. de Haan

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

28 Citations (Scopus)
350 Downloads (Pure)


This paper introduces a powerful filtering method that exploits the physiological and optical properties of skin reflections to improve the performance of remote photoplethysmography (rPPG). Based on the fact that the pulsatile and non-pulsatile (e.g., intensity and specular changes) components have different reflection-spectra in a multi-wavelength camera, we propose to use their different characteristic color changes as a soft criterion to filter the RGB-signals in the frequency domain, such that the AC-components containing clear color distortions can be suppressed before the actual pulse extraction. This leads to a novel "Color-Distortion Filter" (CDF) that can be used as a common pre-processing step for arbitrary rPPG algorithms to increase their robustness. The benchmark in challenging fitness recordings shows that CDF brings significant and consistent improvements to all benchmarked rPPG algorithms, and drives all multi-channel approaches to a similar high quality-level.
Original languageEnglish
Title of host publication12th IEEE Conference on Automatic Face and Gesture Recognition
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Number of pages8
ISBN (Electronic)9781509040230
ISBN (Print)978-1-5090-4023-0
Publication statusPublished - 28 Jun 2017
Event12th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2017) - Washington DC, United States
Duration: 30 May 20173 Jun 2017


Conference12th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2017)
Abbreviated titleFG2017
Country/TerritoryUnited States
CityWashington DC


  • remote photoplethysmography
  • video health monitoring
  • computer vision
  • fitness exercise
  • heart-rate


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