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Communication dans un congrès
Remote Photoplethysmography Based on Implicit Living Skin Tissue Segmentation
Abstract : Region of interest selection is an essential part for remote photoplethysmography (rPPG) algorithms. Most of the time, face detection provided by a supervised learning of physical appearance features coupled with skin detection is used for region of interest selection. However, both methods have several limitations and we propose to implicitly select living skin tissue via their particular pulsatility feature. The input video stream is decomposed into several temporal superpixels from which pulse signals are extracted. Pulsatility measure for each temporal superpixel is then used to merge pulse traces and estimate the photoplethysmogram signal. This allows to select skin tissue and furthermore to favor areas where the pulse trace is more predominant. Experimental results showed that our method perform better than state of the art algorithms without any critical face or skin detection.
Littérature citée [22 références]
https://hal-univ-bourgogne.archives-ouvertes.fr/hal-01356059
Contributeur : Yannick Benezeth <>
Soumis le : jeudi 25 août 2016 - 14:09:08
Dernière modification le : jeudi 4 juin 2020 - 08:48:03
Document(s) archivé(s) le : samedi 26 novembre 2016 - 13:17:53
Contributeur : Yannick Benezeth <>
Soumis le : jeudi 25 août 2016 - 14:09:08
Dernière modification le : jeudi 4 juin 2020 - 08:48:03
Document(s) archivé(s) le : samedi 26 novembre 2016 - 13:17:53
Fichier
ICPR_2016.pdf
Fichiers produits par l'(les) auteur(s)
