Head Pose Estimation in Multi Camera Environment

We develop methods for estimating the head orientation of people from multiple distant cameras integrated with real-time tracking.

Simultaneous tracking and head pose estimation enables detailed reporting on attention patterns of people visiting an architectural space or during natural interactions. Main challenges are the very low resolution and non-frontal views of the faces as captured by distant cameras.

Selected publications:

Yan Y., Ricci E., Subramanian R., Liu G., Lanz O., Sebe N.: A Multi-task Learning Framework for Head Pose Estimation under Target Motion, in IEEE Transactions on Pattern Analysis and Machine Intelligence ,  38(6):1070-1083, 2016

E. Ricci, J. Varadarajan, R. Subramanian, S. Rota Bulo', N. Ahuja, O. Lanz: Uncovering Interactions and Interactors: Joint Estimation of Head, Body Orientation and F-formations from Surveillance Videos, (oral) International Conference on Computer Vision - ICCV, Santiago, Chile, December 2015

Rajagopal A.K., Subramanian R., Ricci E., Vieriu R.L., Lanz O., Kalpathi R., Sebe N.: Exploring Transfer Learning Approaches for Head Pose Classification from Multi-view Surveillance Images. International Journal of Computer Vision, Vol. 109, N. 1-2, pp. 146-167, 2014

Yan Y., Ricci E., Subramanian R., Lanz O., Sebe N.: No Matter Where You Are: Flexible Graph-guided Multi-task Learning for Multi-view Head Pose Classification Under Target Motion. International Conference on Computer Vision - ICCV, pp. 1177-1184, Sydney, Australia, 1-8 December 2013

Rajagopal A.K., Subramanian R., Vieriu R.L., Ricci E., Lanz O., Sebe N., Ramakrishnan K.: An Adaptation Framework for Head Pose Estimation in Dynamic Multi-view Scenarios. Asian Conference on Computer Vision - ACCV 2012, Daejeon, Korea, November 5-9, 2012

Lanz O., Brunelli R.: Joint Bayesian Tracking of Head Location and Pose from Low-resolution Video. Classification of Events, Activities and Relatinships, Evaluation and Workshop - CLEAR'07, Baltimore, MD, USA, May 8-9, 2007, LNCS 4625/2008, Revised Selected Papers, pp. 287-296, 2008