I. Conference, . Vincent-drouard, . Siì, R. Ba, and . Horaud, Switching Linear Inverse-Regression Model for Tracking Head Pose, IEEE Winter Conference on Applications of Computer Vision (WACV), pp.1232-1240, 2017.

F. Badeig, Q. Pelorson, S. Arias, V. Drouard, I. Gebru et al., A distributed architecture for interacting with NAO Mapping sounds onto images using binaural spectrograms, ACM on International Conference on Multimodal Interaction (ICMI) European Signal Processing Conference (EUSIPCO) REFERENCES [Abdi 03] H. Abdi. Partial least square regression (PLS regression). Encyclopedia for research methods for the social sciences, pp.385-386, 2003.
DOI : 10.1145/2818346.2823303

]. B. Ahn, J. Park, and &. S. Kweon, Real-Time Head Orientation from a Monocular Camera Using Deep Neural Network, Asian Conference on Computer Vision, pp.82-96, 2014.
DOI : 10.1007/978-3-319-16811-1_6

S. Arulampalam, N. Maskell, &. T. Gordon, and . Clapp, A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking, IEEE Transactions on Signal Processing, vol.50, issue.2, pp.174-188, 2002.
DOI : 10.1109/78.978374

S. O. Ba and &. Odobez, A probabilistic framework for joint head tracking and pose estimation, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004., 2004.
DOI : 10.1109/ICPR.2004.1333754

F. Badeig, Q. Pelorson, S. Arias, V. Drouard, I. Gebru et al., A Distributed Architecture for Interacting with NAO, Proceedings of the 2015 ACM on International Conference on Multimodal Interaction , ICMI '15, pp.385-386, 2015.
DOI : 10.1145/2818346.2823303
URL : https://hal.archives-ouvertes.fr/hal-01201716

]. T. Baltru?aitis, P. Robinson, and &. Morency, OpenFace: An open source facial behavior analysis toolkit, 2016 IEEE Winter Conference on Applications of Computer Vision (WACV), 2016.
DOI : 10.1109/WACV.2016.7477553

A. Deleforge, V. Drouard, L. Girin, and &. R. Horaud, REFERENCES [Deleforge 14 Mapping sounds onto images using binaural spectrograms, European Signal Processing Conference (EUSIPCO), pp.2470-2474, 2007.

A. Deleforge, F. Forbes, and &. R. Horaud, High-dimensional regression with gaussian mixtures and partially-latent response variables, Statistics and Computing, vol.19, issue.11, pp.893-911, 2015.
DOI : 10.1109/TNN.2008.2003467
URL : https://hal.archives-ouvertes.fr/hal-01107604

M. Demirkus, D. Precup, J. Clark, and &. T. Arbel, Soft biometric trait classification from real-world face videos conditioned on head pose estimation, 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, pp.130-137, 2012.
DOI : 10.1109/CVPRW.2012.6239227

M. Demirkus, J. J. Clark, and &. T. Arbel, Robust semi-automatic head pose labeling for real-world face video sequences, Multimedia Tools and Applications, pp.495-523, 2013.
DOI : 10.1109/TIP.2011.2169269

M. Demirkus, D. Precup, J. J. Clark, and &. T. Arbel, Probabilistic Temporal Head Pose Estimation Using a Hierarchical Graphical Model, European Conference on Computer Vision, pp.328-344
DOI : 10.1007/978-3-319-10590-1_22

M. Demirkus, D. Precup, J. J. Clark, and &. T. Arbel, Hierarchical temporal graphical model for head pose estimation and subsequent attribute classification in real-world videos, Generative Models in Computer Vision and Medical Imaging, pp.128-145, 2015.
DOI : 10.1016/j.cviu.2015.03.005

&. F. Dornaika and . Davoine, Head and Facial Animation Tracking using Appearance-Adaptive Models and Particle Filters, 2004 Conference on Computer Vision and Pattern Recognition Workshop, 2004.
DOI : 10.1109/CVPR.2004.359
URL : https://hal.archives-ouvertes.fr/hal-00143756

V. Drouard, S. Ba, G. Evangelidis, A. Deleforge, and &. R. Horaud, Head pose estimation via probabilistic high-dimensional regression, 2015 IEEE International Conference on Image Processing (ICIP), pp.4624-4628, 2015.
DOI : 10.1109/ICIP.2015.7351683
URL : https://hal.archives-ouvertes.fr/hal-01163663

]. V. Drouard-17a, S. Drouard, &. R. Ba, and . Horaud, Switching Linear Inverse-Regression Model for Tracking Head Pose, 2017 IEEE Winter Conference on Applications of Computer Vision (WACV), pp.1232-1240, 2017.
DOI : 10.1109/WACV.2017.142

]. V. Drouard-17b, R. Drouard, A. Horaud, S. Deleforge, &. G. Ba et al., Robust Head-Pose Estimation Based on Partially-Latent Mixture of Linear Regressions, IEEE Transactions on Image Processing, vol.26, issue.3, pp.1428-1440, 2017.
DOI : 10.1109/TIP.2017.2654165

G. Fanelli, M. Dantone, J. Gall, A. Fossati, and &. L. Van-gool, Random Forests for Real Time 3D Face Analysis, International Journal of Computer Vision, vol.41, issue.5, pp.437-458, 2013.
DOI : 10.1109/TSMCB.2011.2148711
URL : http://files.is.tue.mpg.de/jgall/download/jgall_RFdepthFace_ijcv12.pdf

J. Foytik and &. V. Asari, A Two-Layer Framework for Piecewise Linear Manifold-Based Head Pose Estimation, International Journal of Computer Vision, vol.19, issue.2, pp.270-287, 2013.
DOI : 10.1007/11564386_25

I. D. Gebru, S. Ba, X. Li, and &. R. Horaud, Audio-Visual Speaker Diarization Based on Spatiotemporal Bayesian Fusion, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.39, 2017.
DOI : 10.1109/TPAMI.2017.2648793
URL : https://hal.archives-ouvertes.fr/hal-01413403

]. A. Gee and &. R. Cipolla, Fast visual tracking by temporal consensus, Image and Vision Computing, vol.14, issue.2, pp.105-114, 1996.
DOI : 10.1016/0262-8856(95)01044-0

]. Z. Ghahramani-96a, &. G. Ghahramani, and . Hinton, The EM algorithm for mixtures of factor analyzers, 1996.

]. Z. Ghahramani-96b, &. G. Ghahramani, and . Hinton, Switching state-space models, 1996.

R. S. Ghiass, O. Arandjelovi´carandjelovi´c, and &. D. Laurendeau, Highly accurate and fully automatic head pose estimation from a low quality consumer-level RGB-D sensor, Proceedings of the 2nd Workshop on Computational Models of Social Interactions: Human- Computer-Media Communication, pp.25-34, 2015.

N. Gourier, D. Hall, and &. J. Crowley, Estimating face orientation from robust detection of salient facial features, IEEE International Conference on Pattern Recognition Workshop on Visual Observation of Deictic Gestures, 2004.

N. Gourier, J. Maisonnasse, D. Hall, and &. J. Crowley, Head Pose Estimation on Low Resolution Images, Multimodal Technologies for Perception of Humans, pp.270-280, 2007.
DOI : 10.1007/978-3-540-69568-4_24

M. Haj, J. Gonzalez, and &. L. Davis, On partial least squares in head pose estimation: How to simultaneously deal with misalignment, 2012 IEEE Conference on Computer Vision and Pattern Recognition, pp.2602-2609, 2012.
DOI : 10.1109/CVPR.2012.6247979

W. Hu, &. S. Huang, D. B. Ranganath, S. Jayagopi, D. Sheikhi et al., Head pose estimation by nonlinear embedding and mapping, IEEE International Conference on Image Processing, pp.342-345, 2005.

J. F. Kooij, G. Englebienne, and &. D. Gavrila, A Non-parametric Hierarchical Model to Discover Behavior Dynamics from Tracks, 2012.
DOI : 10.1007/978-3-642-33783-3_20
URL : http://www.gavrila.net/Publications/eccv12.pdf

Z. Li, Y. Fu, J. Yuan, T. Huang, and &. Y. Wu, Query Driven Localized Linear Discriminant Models for Head Pose Estimation, Multimedia and Expo, 2007 IEEE International Conference on, pp.1810-1813, 2007.
DOI : 10.1109/ICME.2007.4285024
URL : http://www.ece.northwestern.edu/%7Ejyu410/index_files/papers/04285024_Li_Fu_Yuan_ICME07.pdf

]. X. Liu, W. Liang, Y. Wang, S. Li, and &. M. Pei, 3D head pose estimation with convolutional neural network trained on synthetic images, 2016 IEEE International Conference on Image Processing (ICIP), 2016.
DOI : 10.1109/ICIP.2016.7532566

A. Jimenez, M. Zisserman, &. V. Eichner, and . Ferrari, Detecting People Looking at Each Other in Videos, International Journal of Computer Vision, vol.25, issue.1, pp.282-296, 2014.
DOI : 10.1007/11526346_26

]. T. Maurer and &. , Tracking and learning graphs and pose on image sequences of faces, Proceedings of the Second International Conference on Automatic Face and Gesture Recognition, 1996.
DOI : 10.1109/AFGR.1996.557261

A. Murphy-chutorian, &. M. Doshi, and . Trivedi, Head Pose Estimation for Driver Assistance Systems: A Robust Algorithm and Experimental Evaluation, 2007 IEEE Intelligent Transportation Systems Conference, pp.709-714, 2007.
DOI : 10.1109/ITSC.2007.4357803
URL : http://cvrr.ucsd.edu/publications/2007/MurphyChutorian_Trivedi_ITSC07.pdf

&. M. Murphy-chutorian and . Trivedi, Head Pose Estimation in Computer Vision: A Survey, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.31, issue.4, pp.607-626, 2009.
DOI : 10.1109/TPAMI.2008.106

P. Naik and &. Tsai, Partial least squares estimator for single-index models, Journal of the Royal Statistical Society: Series B (Statistical Methodology), vol.62, issue.4, pp.763-771, 2000.
DOI : 10.1111/1467-9868.00262

S. M. Oh, J. M. Rehg, T. Balch, and &. F. Dellaert, Learning and inference in parametric switching linear dynamic systems, IEEE ICCV, 2005.

M. Osadchy, Y. Lecun, and &. M. Miller, Synergistic face detection and pose estimation with energy-based models Joint albedo estimation and pose tracking from video, Journal of Machine Learning Research IEEE TPAMI, vol.8, issue.35 7, pp.1197-1215, 2007.
DOI : 10.1007/11957959_10

M. E. Tipping and &. M. Bishop, Mixtures of Probabilistic Principal Component Analyzers, Neural Computation, vol.2, issue.1, pp.443-482, 1999.
DOI : 10.1007/BF00162527

]. J. Tu-06, T. Tu, &. H. Huang, and . Tao, Accurate head pose tracking in low resolution video, IEEE International Conference on Automatic Face and Gesture Recognition, 2006.

M. U?i?á?, V. Franc, and &. V. Hlavá?, Facial Landmarks Detector Learned by the Structured Output SVM, International Conference on Computer Vision Theory and Applications, 2012.
DOI : 10.1007/978-3-642-38241-3_26

&. M. Jones, Rapid object detection using a boosted cascade of simple features, IEEE CVPR, 2001.

]. B. Wang, W. Liang, Y. Wang, and &. Y. Liang, Head Pose Estimation with Combined 2D SIFT and 3D HOG Features, 2013 Seventh International Conference on Image and Graphics, pp.650-655, 2013.
DOI : 10.1109/ICIG.2013.133

]. X. Xiong and &. F. De-la-torre, Supervised Descent Method and Its Applications to Face Alignment, 2013 IEEE Conference on Computer Vision and Pattern Recognition, pp.532-539, 2013.
DOI : 10.1109/CVPR.2013.75
URL : http://www.ri.cmu.edu/pub_files/2013/5/main.pdf

R. Yang and &. Z. Zhang, Model-based head pose tracking with stereovision, IEEE International Conference on Automatic Face and Gesture Recognition, 2002.

P. Yao, G. Evans, and &. A. Calway, Using affine correspondence to estimate 3-D facial pose, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205), 2001.
DOI : 10.1109/ICIP.2001.958274
URL : http://www.cs.bris.ac.uk/Publications/Papers/1000590.pdf

X. Zhu and &. D. Ramanan, Face detection, pose estimation, and landmark localization in the wild, IEEE Conference on Computer Vision and Pattern Recognition, pp.2879-2886, 2012.