Welcome

The core expertise of the iBUG group is the machine analysis of human behaviour in space and time including face analysis, body gesture analysis, visual, audio, and multimodal analysis of human behaviour, and biometrics analysis. Application areas in which the group is working are face analysis, body gesture analysis, audio and visual human behaviour analysis, biometrics and behaviometrics, and HCI.

Latest News

ICCV 2015 Facial Landmark Tracking in-the-Wild Challenge & Workshop (300-VW)

posted 16 Jul 2015, 20:47

The 300 Videos Facial Landmark Tracking in-the-Wild Challenge & Workshop (300-VW) to be held in conjunction with International Conference on Computer Vision (ICCV) 2015, Santiago, Chile. 

See the Challenge website for more information.

Facial Expression Recognition and Analysis Challenge 2015

posted 28 Apr 2015, 17:58

The Facial Expression Recognition and Analysis Challenge 2015 Workshop to be held in conjunction with Automatic Face and Gesture Recognition 2015 in Ljubljana, Slovenia. The FERA 2015 workshop and challenge has been generously supported by Horizon 2020 SEWA project

See the Challenge website for more details.

IBUG Chair speaking at Royal Academy

posted 27 Mar 2015, 09:00

Prof. Maja Pantic spoke of iBUG research at Royal Academy Event.

IMAVIS 2014 Automatic Facial Landmark Detection In-The-Wild Challenge (300-W 2014)

posted 06 Oct 2014, 17:21

The Automatic Facial Landmark Detection in-the-Wild Challenge (300-W 2014) to be held for a second year for a special issue in Elsevier Image and Vision Computing Journal.

See the Challenge website for more details.

Qualcomm innovation fellowship awarded to iBug members

posted 02 Apr 2014, 18:23

Mr. Patrick Snape and Dr. Stefanos Zafeiriou have been awarded the prestigious Qualcomm innovation fellowship.

Latest Publications

Prediction-based Audiovisual Fusion for Classification of Non-linguistic Vocalisations

S. Petridis, M. Pantic. IEEE Transactions on Affective Computing, accepted for publication. 2016.

Bibtex reference [hide]
@article{predBasedAVfusion,
    author = {M. Pantic and S. Petridis},
    journal = {IEEE Transactions on Affective Computing, accepted for publication},
    title = {Prediction-based Audiovisual Fusion for Classification of Non-linguistic Vocalisations},
    year = {2016},
}
Endnote reference [hide]
%0 Journal Article
%T Prediction-based Audiovisual Fusion for Classification of Non-linguistic Vocalisations
%A Pantic, M.
%A Petridis, S.
%J IEEE Transactions on Affective Computing, accepted for publication
%D 2016
%F predBasedAVfusion

Probabilistic Slow Features for Behavior Analysis

L. Zafeiriou, M. A. Nicolaou, S. Zafeiriou, S. Nikitidis, M. Pantic. IEEE Transactions on Neural Networks and Learning Systems. 2016.

Bibtex reference [hide]
@article{psfaba,
    journal = {IEEE Transactions on Neural Networks and Learning Systems},
    title = {Probabilistic Slow Features for Behavior Analysis},
    year = {2016},
}
Endnote reference [hide]
%0 Journal Article
%T Probabilistic Slow Features for Behavior Analysis
%J IEEE Transactions on Neural Networks and Learning Systems
%D 2016
%F psfaba

Online Kernel Slow Feature Analysis for Temporal Video Segmentation and Tracking

S. Liwicki, S. Zafeiriou, M. Pantic. IEEE Transactions on Image Processing, accepted for publication. 2016.

Bibtex reference [hide]
@article{onlineSFA2016,
    author = {S. Liwicki and S. Zafeiriou and M. Pantic},
    journal = {IEEE Transactions on Image Processing, accepted for publication},
    title = {Online Kernel Slow Feature Analysis for Temporal Video Segmentation and Tracking},
    year = {2016},
}
Endnote reference [hide]
%0 Journal Article
%T Online Kernel Slow Feature Analysis for Temporal Video Segmentation and Tracking
%A Liwicki, S.
%A Zafeiriou, S.
%A Pantic, M.
%J IEEE Transactions on Image Processing, accepted for publication
%D 2016
%F onlineSFA2016