• DocumentCode
    2509768
  • Title

    Removal of Moving Objects from a Street-View Image by Fusing Multiple Image Sequences

  • Author

    Uchiyama, Hiroyuki ; Deguchi, Daisuke ; Takahashi, Tomokazu ; Ide, Ichiro ; Murase, Hiroshi

  • Author_Institution
    Grad. Sch. of Inf. Sci., Nagoya Univ., Nagoya, Japan
  • fYear
    2010
  • fDate
    23-26 Aug. 2010
  • Firstpage
    3456
  • Lastpage
    3459
  • Abstract
    We propose a method to remove moving objects from an in-vehicle camera image sequence by fusing multiple image sequences. Driver assistance systems and services such as Google Street View require images containing no moving object. The proposed scheme consists of three parts: (i) collection of many image sequences along the same route by using vehicles equipped with an omni-directional camera, (ii) temporal and spatial registration of image sequences, and (iii) mosaicing partial images containing no moving object. Experimental results show that 97.3% of the moving object area could be removed by the proposed method.
  • Keywords
    cameras; image fusion; image motion analysis; image segmentation; image sequences; road vehicles; traffic engineering computing; Google street view; driver assistance systems; fusing multiple image sequences; in-vehicle camera image sequence; moving objects removal; omnidirectional camera; partial image mosaicing; spatial registration; street-view image; temporal registration; Bicycles; Cameras; Google; Image sequences; Pattern recognition; Pixel;
  • 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.2010.844
  • Filename
    5597528