• DocumentCode
    2594215
  • Title

    Outdoor vehicle and shadow segmentation by temporal edge density information of adjacent frames

  • Author

    Techawatcharapaikul, Chanchai ; Kaewtrakulpong, Pakorn ; Siddhichai, Supakorn

  • Author_Institution
    Dept. of Comput. Eng., King Mongkut´´s Univ. of Technol. Thonburi, Bangkok
  • Volume
    1
  • fYear
    2008
  • fDate
    14-17 May 2008
  • Firstpage
    433
  • Lastpage
    436
  • Abstract
    The problem of vehicle detection and segmentation in outdoor scenes is tackled. Vehicle shadows pose problems in vehicle segmentation step. In this paper, it is proposed to employ temporal edge density information as prior knowledge to distinguish moving vehicle from moving shadow and background in a traffic surveillance system. Experimental results showed good moving vehicle segmentation performance. The proposed approach is currently limited to free-flowing traffic scenes.
  • Keywords
    automated highways; image motion analysis; image segmentation; object detection; video surveillance; free-flowing traffic scenes; outdoor vehicle; shadow segmentation; temporal edge density information; traffic surveillance system; vehicle detection; vehicle segmentation step; Automotive engineering; Cameras; Image segmentation; Layout; Lighting; Robustness; Sensor phenomena and characterization; Surveillance; Traffic control; Vehicle detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, 2008. ECTI-CON 2008. 5th International Conference on
  • Conference_Location
    Krabi
  • Print_ISBN
    978-1-4244-2101-5
  • Electronic_ISBN
    978-1-4244-2102-2
  • Type

    conf

  • DOI
    10.1109/ECTICON.2008.4600463
  • Filename
    4600463