• DocumentCode
    2229432
  • Title

    Vehicle detection based on morphology from highway aerial images

  • Author

    Zheng, Zezhong ; Wang, Xiaoting ; Zhou, Guoqing ; Jiang, Ling

  • Author_Institution
    Inst. of Geo-Spatial Inf. Technol., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    5997
  • Lastpage
    6000
  • Abstract
    Vehicle detection from high resolution aerial images has been studied for many years. However, a robust and efficient vehicle detection method is still challenging. In this paper, a novel and robust method for automatic vehicle detection from highway aerial image was presented. In this method, a GIS road vector map is used to constrain a vehicle detection system to the highway networks. After the structure element is identified, morphological preprocessing method is used to identify candidate vehicles. Experiment is conducted with 0.15 m resolution aerial image. And the result demonstrated that the novel method has an excellent detection performance, thus the method is very promising.
  • Keywords
    geographic information systems; geophysical image processing; geophysical techniques; object detection; roads; vehicles; GIS road vector map; automatic vehicle detection; candidate vehicles; detection performance; high resolution aerial images; highway aerial image; highway aerial images; highway networks; morphological preprocessing method; robust efficient vehicle detection method; structure element; vehicle detection system; Computational modeling; Educational institutions; Image resolution; Road transportation; Robustness; Vehicle detection; Vehicles; Vehicle detection; aerial image; morphological preprocessing; structure element;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6352241
  • Filename
    6352241