• DocumentCode
    524405
  • Title

    Detection by collaborative intrinsic images and vertical projection histogram integration

  • Author

    Dong, Yongxin ; Wang, Jingling ; Zhang, Qin

  • Author_Institution
    Dept. of Inf. Eng., Commun. Univ. of China, Beijing, China
  • Volume
    3
  • fYear
    2010
  • fDate
    22-24 June 2010
  • Abstract
    This paper detects image sequences using a method by collaborative vertical projection histogram and principal axis-based integration. Instead of the conventional detection method intrinsic images proposes the relation of background and foreground is multiplication, in log domain this relation becomes addition. In the multi-target image sequence, the method combined with vertical projection histogram can detect individuals from each other. Compared with the traditional background subtraction method and gaussian mixture model method,the experimental results verify the effectiveness and advantage of the method.
  • Keywords
    Gaussian processes; image sequences; object detection; Gaussian mixture model method; background subtraction method; collaborative intrinsic images; image detection; multitarget image sequence; principal axis-based integration; vertical projection histogram integration; Computer science education; Educational technology; Histograms; Image sequences; International collaboration; Layout; Lighting; Motion detection; Reflectivity; Target tracking; detection; intrinsic images; vertical projection histogram;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Education Technology and Computer (ICETC), 2010 2nd International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-6367-1
  • Type

    conf

  • DOI
    10.1109/ICETC.2010.5529584
  • Filename
    5529584