• DocumentCode
    2292962
  • Title

    Integrated vision and sound localization

  • Author

    Arabi, P. ; Zaky, Safwat

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Toronto Univ., Ont., Canada
  • Volume
    2
  • fYear
    2000
  • fDate
    10-13 July 2000
  • Abstract
    This paper illustrates the synergic advantages of a multi-modal object localization system utilizing vision and sound localization. Prototype vision and sound localization systems were developed and integrated using spatial probability maps, which allow any number of cameras or microphones with arbitrary orientation to be easily integrated. Test results show a significant improvement in the integrated vision and sound localization (IVSL) system´s ability to accurately localize objects in low signal to noise situations. Furthermore, the performance of the IVSL system was shown to surpass that of the individual sub-systems.
  • Keywords
    computer vision; microphones; sensor fusion; data integration; fusion; integrated vision and sound localization; localization; microphone arrays; multi-modal object localization system; sound localization; vision; Acoustic noise; Biological systems; Cameras; Educational institutions; Image segmentation; Machine vision; Microphone arrays; Noise robustness; Pixel; Prototypes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Fusion, 2000. FUSION 2000. Proceedings of the Third International Conference on
  • Conference_Location
    Paris, France
  • Print_ISBN
    2-7257-0000-0
  • Type

    conf

  • DOI
    10.1109/IFIC.2000.859879
  • Filename
    859879