Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Szczapa, Benjamin"'
Autor:
Szczapa, Benjamin, Daoudi, Mohamed, Berretti, Stefano, Pala, Pietro, Del Bimbo, Alberto, Hammal, Zakia
We propose an automatic method to estimate self-reported pain based on facial landmarks extracted from videos. For each video sequence, we decompose the face into four different regions and the pain intensity is measured by modeling the dynamics of f
Externí odkaz:
http://arxiv.org/abs/2209.01813
Autor:
Szczapa, Benjamin, Daoudi, Mohamed, Berretti, Stefano, Pala, Pietro, Del Bimbo, Alberto, Hammal, Zakia
We propose an automatic method for pain intensity measurement from video. For each video, pain intensity was measured using the dynamics of facial movement using 66 facial points. Gram matrices formulation was used for facial points trajectory repres
Externí odkaz:
http://arxiv.org/abs/2006.13882
Autor:
Szczapa, Benjamin, Daoudi, Mohamed, Berretti, Stefano, Del Bimbo, Alberto, Pala, Pietro, Massart, Estelle
In this paper, we tackle the problem of action recognition using body skeletons extracted from video sequences. Our approach lies in the continuity of recent works representing video frames by Gramian matrices that describe a trajectory on the Rieman
Externí odkaz:
http://arxiv.org/abs/1908.00646
Autor:
Szczapa, Benjamin
Publikováno v:
Computer Vision and Pattern Recognition [cs.CV]. Université de Lille; Università degli Studi di Firenze, 2022. English. ⟨NNT : 2022ULILB019⟩
Human behavior understanding has been an important research topic in the past decades. Indeed, the development of machines that work and help humans in their daily lives has never been more important than it is today. It is important to develop appro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______4254::86b3485b442f71f4d924e463369cbfc2
https://theses.hal.science/tel-03947808
https://theses.hal.science/tel-03947808
Autor:
Szczapa B; Univ. Lille, CNRS, Centrale Lille, UMR 9189 CRIStAL, F-59000 Lille, France., Daoudi M; IMT Nord Europe, Institut Mines-Télécom, Univ. Lille, Centre for Digital Systems, F-59000 Lille, France, and Univ. Lille, CNRS, Centrale Lille, Institut Mines-Télécom, UMR 9189 CRIStAL, F-59000 Lille, France., Berretti S; Department of Information Engineering, University of Florence, Italy., Pala P; Department of Information Engineering, University of Florence, Italy., Del Bimbo A; Department of Information Engineering, University of Florence, Italy., Hammal Z; Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, USA.
Publikováno v:
IEEE transactions on affective computing [IEEE Trans Affect Comput] 2022 Oct-Dec; Vol. 13 (4), pp. 1813-1826. Date of Electronic Publication: 2022 Sep 15.
Autor:
Szczapa B; Univ. Lille, CNRS, Centrale Lille, UMR 9189 CRIStAL, F-59000 Lille, France.; Department of Information Engineering, University of Florence, Italy., Daoudi M; IMT Lille Douai, Univ. Lille, CNRS, UMR 9189 CRIStAL, F-59000 Lille, France., Berretti S; Department of Information Engineering, University of Florence, Italy., Pala P; Department of Information Engineering, University of Florence, Italy., Del Bimbo A; Department of Information Engineering, University of Florence, Italy., Hammal Z; Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, USA.
Publikováno v:
Proceedings of the ... IAPR International Conference on Pattern Recognition. International Conference on Pattern Recognition [Proc IAPR Int Conf Pattern Recogn] 2021 Jan; Vol. 2020. Date of Electronic Publication: 2021 May 05.