• DocumentCode
    2515027
  • Title

    Sensor Fusion for Cooperative Head Localization

  • Author

    Del Bimbo, Alberto ; Dini, Fabrizio ; Lisanti, Giuseppe ; Pernici, Federico

  • Author_Institution
    Univ. of Florence, Florence, Italy
  • fYear
    2010
  • fDate
    23-26 Aug. 2010
  • Firstpage
    384
  • Lastpage
    387
  • Abstract
    In modern video surveillance systems, pan-tilt-zoom (PTZ) cameras certainly have the potential to allow the coverage of wide areas with a much smaller number of sensors, compared to the common approach of fixed camera networks. This paper describes a general framework that aims at exploiting the capabilities of modern PTZ cameras in order to acquire high resolution images of body parts, such as the head, from the observation of pedestrians moving in a wide outdoor area. The framework allows to organize the sensors in a network with arbitrary topology, and to establish pairwise master-slave relationship between them. In this way a slave camera can be steered to acquire imagery of a target keeping into account both target and zooming uncertainties. Experiments show good performance in localizing target´s head, independently from the zooming factor of the slave camera.
  • Keywords
    cameras; image resolution; sensor fusion; topology; video surveillance; PTZ cameras; arbitrary topology; body parts; cooperative head localization; fixed camera networks; high resolution images; pairwise master-slave relationship; pan-tilt-zoom cameras; pedestrians moving; sensor fusion; slave camera; video surveillance systems; zooming factor; Calibration; Cameras; Computer vision; Feature extraction; Head; Target tracking; Visualization; Camera Network; Master; PTZ Camera; Particle Filter; Slave; Tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition (ICPR), 2010 20th International Conference on
  • Conference_Location
    Istanbul
  • ISSN
    1051-4651
  • Print_ISBN
    978-1-4244-7542-1
  • Type

    conf

  • DOI
    10.1109/ICPR.2010.102
  • Filename
    5597812