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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.

  1. Oswald Lanz; Tao Hu,
    Dynamic Resource Allocation for Probabilistic Tracking via Attentive Sensing and Sampling,
    Proc Advanced Video and Signal-Based Surveillance (AVSS), 2011 8th IEEE International Conference on,
    , (8th IEEE International Conference on Advances Video and Signal-based Surveillance - AVSS 2011,
    Klagenfurt, Austria,
    08/30/2011 - 09/02/2011)
  2. O. Lanz; S. Messelodi,
    Workshop on VIdeo Surveillance projects in ITaly, VISIT 2011,
    , (2nd Workshop on VIdeo Surveillance projects in ITaly - VISIT 2011,
    Modena, Italy,
  3. A. Waibel; R. Stiefelhagen; R. Carlson; J. Casas; J. Kleindienst; L. Lamel; O. Lanz; D. Mostefa; M. Omologo; F. Pianesi; L. Polymenakos; G. Potamianos; J. Soldatos; G. Sutschet; J. Terken,
    Handbook of Ambient Intelligence and Smart Environments,
    , pp. 1065 -
  4. G. Zen; O. Lanz; S. Messelodi; E. Ricci,
    Tracking Multiple People with Illumination Maps,
    Proceedings of International Conference on Pattern Recognition,
    , pp. 3484-
    , (International Conference on Pattern Recognition (ICPR),
    Istanbul, Turkey,
    08/23/2010 - 08/26/2010)
  5. G. Zen; B. Lepri; E. Ricci; O. Lanz,
    Space Speaks - Towards Socially and Personality Aware Visual Surveillance,
    Proceedings of ACM Multimedia,
    , pp. 37-
    , (Multimodal Pervasive Video Analysis Workshop (MPVA), in conjuction with ACM Multimedia,
    Florence, Italy,
  6. M. Poesio; M. Baroni; O. Lanz; A. Lenci; A. Potamianos; H. Schütze; S. Schulte im Walde; L. Surian,
    BabyExp: Constructing a huge multimodal resource to acquire commonsense knowledge like children do,
    , (International Conference on Language Resources and Evaluation,
    Valletta (Malta),
    da 05/17/2010 a 05/23/2010)
  7. A. Brutti; O. Lanz,
    A joint particle filter to track the position and head orientation of people using audio visual cues,
    , (European Signal Processing Conference (EUSIPCO),
    Aalborg - Denmark,
    da 08/23/2010 a 08/27/2010)
  8. O. Lanz; S. Messelodi,
    Method for efficient target detection from images robust to occlusion.
    The method for efficient target detection from images robust to occlusion disclosed by the present invention detects the presence and spatial location of a number of objects in images. It consists in (i) an off-line method to compile an intermediate representation of detection probability maps that are then used by (ii) an on-line method to construct a detection probability map suitable for detecting and localizing objects in a set of input images efficiently. The method explicitly handles occlusions among the objects to be detected and localized, and objects whose shape and configuration is provided externally, for example from an object tracker. The method according to the present invention can be applied to a variety of objects and applications by customizing the method's input functions, namely the object representation, the geometric object model, its image projection method, and the feature matching function.
  9. Michael Voit; Nicolas Gourier; Cristian Canton-Ferrer; Oswald Lanz; Rainer Stiefelhagen; Roberto Brunelli,
    Estimation of Head Pose,
    Computers in the Human Interaction Loop,
    , pp. 33 -
  10. Oswald Lanz; Roberto Brunelli; Paul Chippendale; M. Voit; Rainer Stiefelhagen,
    Extracting Interaction Cues: Focus of Attention, Body Pose, and Gestures,
    Computers in the Human Interaction Loop,
    , pp. 87 -