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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 Full 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. V. Libal; B. Ramabhadran; N. Mana; F. Pianesi; P. Chippendale; O. Lanz; G. Potamianos,
    Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living, 10th International Work-Conference on Artificial Neural Networks, IWANN 2009,
    vol.5518,
    2009
    , pp. 687-
    694
    , (International Workshop of Ambient Assisted Living,
    Salamanca, Spain,
    06/10/2009 a 06/12/2009)
  2. O. Lanz; S. Messelodi,
    A sampling algorithm for occlusion robust multi target detection,
    2009
    , pp. 346-
    351
    , (6th IEEE International Conference on Advanced Video and Signal based Surveillance - AVSS 2009,
    Genova, Italy,
    da 09/02/2009 a 09/04/2009)
  3. O. Lanz,
    A HJS Filter to Track Visually Interacting Targets,
    2009
    , pp. 757-
    760
    , (IEEE International Conference on Acoustics, Speech, and Signal Processing - ICASSP,
    Taipei, Taiwan,
    da 04/19/2009 a 04/24/2009)
  4. O. Lanz; S. Messelodi,
    Method for efficient target detection from images robust to occlusion.
    2009,
    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.
  5. P. Chippendale; O. Lanz,
    Optimised Meeting Recording and Annotation using Real-time Video Analysis,
    Machine Learning for Multimodal Interaction,
    Springer,
    vol.5237/2008,
    2008
    , pp. 50-
    61
    , (5th International Workshop on Machine Learning for Multimodal Interaction - MLMI 2008,
    Utrecht, The Netherlands,
    09/08/2008 a 09/10/2008)
  6. O. Lanz,
    Probabilistic People Tracking using Passive Vision,
    2008
  7. R. Brunelli; O. Lanz; A. Santuari; F. Tobia,
    Tracking Visitors in a Museum,
    PEACH - Intelligent Interfaces for Museum Visits,
    Heidelberg,
    Springer,
    2007
    , pp. 205 -
    228
  8. O. Lanz; P. Chippendale; R. Brunelli,
    Multimodal Technologies for Perception of Humans,
    Berlin / Heidelberg,
    Springer,
    vol.4625/2008,
    2007
    , pp. 57-
    69
    , (Classification of Events, Activities and Relatinships, Evaluation and Workshop -CLEAR,
    Baltimore, MD, USA,
    from 5/8/2007 to 5/9//2007)
  9. O. Lanz,
    An Information Theoretic Rule for Sample Size Adaptation in Particle Filtering,
    2007
    , pp. 317-
    322
    , (International Conference on Image Analysis and Processing - ICIAP,
    Modena, Italy,
    from 09/10/2007 to 09/14/2007)
  10. O. Lanz; R. Brunelli,
    Multimodal Technologies for Perception,
    Heidelberg,
    Springer,
    vol.4625/2008,
    2007
    , pp. 287-
    296
    , (Classification of Events, Activities and Relatinships, Evaluation and Workshop - CLEAR,
    Baltimore, MD, USA,
    from 5/8/2007 to 5/9/2007)

Pages