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Oswald Lanz

Permanent researcher
  • Phone: 0461314511
  • FBK Povo
Short bio

I received the MSc in Mathematics ('00) and a Ph.D in Computer Science ('05) from the University of Trento, and the Habilitation to Associate Professor (in Italy, ASN16 09/H1).

I am a Researcher at the Fondazione Bruno Kessler, Trento, Italy since 2005, tenured since 2008. My research has been mainly in the field of people tracking, audio-visual tracking, pose estimation and group detection with application to monitoring and behavior analysis. From 2012 to end of 2015 I have been Head of Computer Vision Research Unit Technologies of Vision at the Fondazione Bruno Kessler. In 2016 I have been launching an innovation project in a home automation SME. 

My main research interests are currently in deep learning with structured output prediction applied to video classification and tracking. I hold a number of international patents on video tracking.

Publications
  1. Setti F.; Lanz O.; Ferrario R.; Murino V.; Cristani M.,
    Multi-scale f-formation discovery for group detection,
    Proc. ICIP 2013,
    2013
    , pp. 3547-
    3551
    , (International Conference on Image Processing,
    Melbourne, Australia,
    September 15-18, 2013)
  2. Mutlu S.; Hu T.; Lanz O.,
    Learning the scene illumination for color-based people tracking in dynamic environment,
    Proc. ICIAP 2013,
    2013
    , pp. 683-
    692
    , (International Conference on Image Analysis and Processing,
    Naples, Italy,
    September 11-13, 2013)
  3. Hu T.; Mutlu S.; Lanz O.,
    Multicamera People tracking using a locus-based probabilistic occupancy map,
    Proc. ICIAP 2013,
    2013
    , pp. 693-
    702
    , (International Conference on Image Analysis and Processing,
    Naples, Italy,
    September 11-13, 2013)
  4. R. Subramanian; Y. Yan; J. Staiano; O. Lanz; N. Sebe,
    On the relationship between head pose, social attention and personality prediction for unstructured and dynamic group interactions,
    Proc. ICMI 2013,
    2013
    , pp. 3-
    10
    , (International Conference on Multimodal Interaction,
    Sydney, Australia,
    December 9-13th, 2013)
  5. 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,
    Proceedings of ICCV 2013,
    2013
    , pp. 1177-
    1184
    , (International Conference on Computer Vision,
    Sydney,
    Dec 3-6, 2013)
  6. J.M. Odobez; O. Lanz,
    Multimodal Signal Processing, Human Interactions in Meetings,
    Cambridge,
    Cambridge University Press,
    2012
  7. R.L. Vieriu; A. Rajagopal; R. Subramanian; O. Lanz; E. Ricci; N. Sebe; K. Ramakrishnan,
    Boosting-based Transfer Learning for Multi-View Head-Pose Classification From Surveillance Videos,
    Proc. European Signal Processing Conference (EUSIPCO 2012),
    2012
    , (European Signal Processing Conference 2012,
    Bucharest, Romania,
    27-31/08/2012)
  8. P. Chippendale; M. Zanin; C. Andreatta; S. Messelodi; O. Lanz,
    Augmented Reality at FBK,
    2012
    , (Convegno GIRPR 2012,
    Certosa di Pontignano (Siena),
    21-23 Maggio 2012)
  9. Y. Yan; R. Subramanian; O. Lanz; N. Sebe,
    Active Transfer Learning for Multi-View Head-Pose Classification,
    2012
    , (International Conference on Pattern Recognition, ICPR,
    Tsukuba, Japan,
    da 11/11/2012 a 15/11/2012)
  10. A. Rajagopal; R. Subramanian; R. Vieriu; E. Ricci; O. Lanz; N. Sebe; K. Ramakrishnan,
    An Adaptation Framework for Head Pose Estimation in Dynamic Multi-view Scenarios,
    Proc. Asian Conference on Computer Vision (ACCV’12),
    2012
    , (Asian Conference of Computer Vision, ACCV'12,
    Daejeon, Korea,
    Da 5/11/2012 a 9/11/2012)

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