. International, R. Vincent-drouard, A. Horaud, and . Deleforge, Robust Head-Pose Estimation Based on Partially-Latent Mixture of Linear Regression, IEEE Transactions on Image Processing, vol.26, pp.1428-1440, 2017.

, Switching Linear Inverse-Regression Model for Tracking Head Pose, INTERNATIONAL CONFERENCE PUBLICATIONS [Drouard 17a] Vincent Drouard, pp.1232-1240, 2017.

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

F. Badeig, Q. Pelorson, S. Arias, V. Drouard, I. Gebru et al., Vincent Drouard, Laurent Girin and Radu Horaud. Mapping sounds onto images using binaural spectrograms, ACM on International Conference on Multimodal Interaction (ICMI), pp.2470-2474, 2014.

H. Abdi, Encyclopedia for research methods for the social sciences, pp.792-795, 2003.

B. Ahn, J. &. Park, and . Kweon, Real-time head orientation from a monocular camera using deep neural network, Asian Conference on Computer Vision, pp.82-96, 2014.

M. S. Arulampalam, S. Maskell, N. 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.

S. O. Ba and &. Odobez, A probabilistic framework for joint head tracking and pose estimation, IEEE ICPR, 2004.

F. Badeig, Q. Pelorson, S. Arias, V. Drouard, I. Gebru et al., A distributed architecture for interacting with NAO, ACM International Conference on Multimodal Interaction (ICMI), pp.385-386, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01201716

T. Baltru?aitis, P. Robinson, and &. Morency, Openface: an open source facial behavior analysis toolkit, IEEE Winter Conference on Applications of Computer Vision (WACV), 2016.

C. Benabdelkader, Robust head pose estimation using supervised manifold learning, European Conference on Computer Vision, pp.518-531, 2010.

A. Bhattacharyya, On a measure of divergence between two statistical population defined by their population distributions, Bulletin Calcutta Mathematical Society, vol.35, pp.99-109, 1943.

C. Bishop, Pattern Recognition and Machine Learning, 2007.

A. Deleforge, V. Drouard, L. Girin, and &. Horaud, Mapping sounds onto images using binaural spectrograms, European Signal Processing Conference (EUSIPCO), pp.2470-2474, 2014.

A. Deleforge, F. Forbes, and &. Horaud, High-Dimensional Regression with Gaussian Mixtures and Partially-Latent Response Variables, Statistics and Computing, vol.25, issue.5, pp.893-911, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01107604

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

M. Demirkus, J. J. Clark, and &. Arbel, Robust semi-automatic head pose labeling for real-world face video sequences, Multimedia Tools and Applications, vol.70, pp.495-523, 2013.

M. Demirkus, D. Precup, J. J. Clark, and &. Arbel, Probabilistic Temporal Head Pose Estimation Using a Hierarchical Graphical Model, European Conference on Computer Vision, pp.328-344, 2014.

M. Demirkus, D. Precup, J. J. Clark, and &. 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, vol.136, pp.128-145, 2015.

F. Dornaika and &. Davoine, Head and facial animation tracking using appearance-adaptive models and particle filters, IEEE CVPRW, 2004.
DOI : 10.1109/cvpr.2004.359
URL : https://hal.archives-ouvertes.fr/hal-00143756

V. Drouard, S. Ba, G. Evangelidis, A. Deleforge, and &. Horaud, Head pose estimation via probabilistic high-dimensional regression, 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, S. Ba, and &. Horaud, Switching Linear InverseRegression Model for Tracking Head Pose, IEEE Winter Conference on Applications of Computer Vision (WACV), pp.1232-1240, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01430727

V. Drouard, R. Horaud, A. Deleforge, S. Ba, and &. Evangelidis, 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.
URL : https://hal.archives-ouvertes.fr/hal-01413406

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.101, issue.3, pp.437-458, 2013.

J. Foytik and &. Asari, A Two-Layer Framework for Piecewise Linear Manifold-Based Head Pose Estimation, International Journal of Computer Vision, vol.101, issue.2, pp.270-287, 2013.

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

A. Gee and &. 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. E. Ghahramani-&-g and . Hinton, The EM algorithm for mixtures of factor analyzers. Rapport technique CRG-TR-96-1, 1996.

Z. E. Ghahramani-&-g and . Hinton, Switching state-space models, 1996.

R. S. Ghiass, O. Arandjelovi´carandjelovi´c, and &. 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: HumanComputer-Media Communication, pp.25-34, 2015.

N. Gourier, D. &. Hall, and . 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 . Crowley, Head pose estimation on low resolution images. In Multimodal Technologies for Perception of Humans, pp.270-280, 2007.
DOI : 10.1007/978-3-540-69568-4_24
URL : http://www-prima.imag.fr/prima/pub/Publications/2006/GMHC06/CLEAR - Inria Head Pose.pdf

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

N. Hu, W. Huang, and &. S. Ranganath, Head pose estimation by nonlinear embedding and mapping, IEEE International Conference on Image Processing, vol.2, pp.342-345, 2005.

D. B. Jayagopi, S. Sheikhi, D. Klotz, J. Wienke, J. Odobez et al., The vernissage corpus: A multimodal human-robot-interaction dataset, 2012.

J. F. Kooij, G. &. Englebienne, and . Gavrila, A non-parametric hierarchical model to discover behavior dynamics from tracks, ECCV, 2012.
DOI : 10.1007/978-3-642-33783-3_20

Z. Li, Y. Fu, J. Yuan, T. Huang, and &. Wu, Query Driven Localized Linear Discriminant Models for Head Pose Estimation, IEEE International Conference on Multimedia and Expo, pp.1810-1813, 2007.

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

M. Marin-jimenez, A. Zisserman, M. Eichner, and &. Ferrari, Detecting People Looking at Each Other in Videos, International Journal of Computer Vision, vol.106, issue.3, pp.282-296, 2014.
DOI : 10.1007/s11263-013-0655-7
URL : https://www.research.ed.ac.uk/portal/files/17793400/Marin_Jimenez_et_al_2014_Detecting_people_looking_at_each_other.pdf

T. Maurer-&-c.-von-der-malsburg, Tracking and learning graphs and pose on image sequences of faces, International Conference on Automatic Face and Gesture Recognition, 1996.

;. E. Murphy, A. Murphy-chutorian, &. Doshi, and . Trivedi, Head Pose Estimation for Driver Assistance Systems: A Robust Algorithm and Experimental Evaluation, IEEE Intelligent Transportation Systems Conference, pp.709-714, 2007.

;. E. Murphy, &. M. Murphy-chutorian, and . Trivedi, Head pose estimation in computer vision: A survey, IEEE transactions on pattern analysis and machine intelligence, vol.31, pp.607-626, 2009.

P. Naik and &. Tsai, Partial least squares estimator for singleindex models, Journal of the Royal Statistical Society B, vol.62, issue.4, pp.763-771, 2000.

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

M. Osadchy, Y. &. Lecun, and . Miller, Synergistic face detection and pose estimation with energy-based models, Journal of Machine Learning Research, vol.8, pp.1197-1215, 2007.
DOI : 10.1007/11957959_10

V. Pavlovic, J. M. Rehg, and &. Maccormick, Learning switching linear models of human motion, Conference on Neural Information Processing Systems, 2000.

X. Peng, J. Huang, Q. Hu, S. Zhang, A. Elgammal et al., From circle to 3-sphere: Head pose estimation by instance parameterization, Computer Vision and Image Understanding, vol.136, pp.92-102, 2015.

C. E. Rasmussen, Gaussian processes for machine learning, 2006.

B. Raytchev, I. Yoda, and &. Sakaue, Head pose estimation by nonlinear manifold learning, IEEE International Conference on Pattern Recognition, vol.4, pp.462-466, 2004.
DOI : 10.1109/icpr.2004.1333802

D. Salmond, Mixture reduction algorithms for point and extended object tracking in clutter, IEEE Transactions on Aerospace and Electronic Systems, vol.45, issue.2, pp.667-686, 2009.

G. Schwarz, Estimating the dimension of a model, The annals of statistics, vol.6, issue.2, pp.461-464, 1978.

E. Seemann, K. Nickel, and &. Stiefelhagen, Head pose estimation using stereo vision for human-robot interaction, IEEE International Conference on Automatic Face and Gesture Recognition, pp.626-631, 2004.
DOI : 10.1109/afgr.2004.1301603

A. W. Sharma-&-d and . Jacobs, Bypassing synthesis: PLS for face recognition with pose, low-resolution and sketch, IEEE Conference onComputer Vision and Pattern Recognition, pp.593-600, 2011.

A. J. Smola and &. Schölkopf, A tutorial on support vector regression, Statistics and computing, vol.14, issue.3, pp.199-222, 2004.

S. L. Srinivasan-&-k and . Boyer, Head Pose Estimation Using View Based Eigenspaces, IEEE International Conference on Pattern Recognition, vol.4, pp.302-305, 2002.

R. Stiefelhagen, Estimating head pose with neural networksresults on the pointing04 ICPR workshop evaluation data, IEEE International Conference on Pattern Recognition Pointing'04 Workshop, 2004.

K. L. Sundararajan-&-d and . Woodard, Head pose estimation in the wild using approximate view manifolds, IEEE Conference REFERENCES on Computer Vision and Pattern Recognition Workshops, pp.50-58, 2015.

S. Taheri, A. C. Sankaranarayanan, and &. Chellappa, Joint albedo estimation and pose tracking from video, IEEE TPAMI, vol.35, issue.7, pp.1674-1689, 2013.

M. E. Tipping-&-c and . Bishop, Mixtures of probabilistic principal component analyzers, Neural Computation, vol.11, issue.2, pp.443-482, 1999.

J. Tu, T. 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 &. Hlavá?, Detector of Facial Landmarks Learned by the Structured Output SVM, International Conference on Computer Vision Theory and Applications, 2012.

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

B. Wang, W. Liang, Y. Wang, and &. Liang, Head Pose Estimation with Combined 2D SIFT and 3D HOG Features, International Conference on Image and Graphics, pp.650-655, 2013.

X. Xiong-&-f.-de-la and T. , Supervised descent method and its applications to face alignment, IEEE Conference on Computer Vision and Pattern Recognition, pp.532-539, 2013.

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

P. Yao, G. Evans, and &. Calway, Using affine correspondence to estimate 3-d facial pose, IEEE ICIP, 2001.

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