• DocumentCode
    495357
  • Title

    A Region of Interest Extraction Approach of On-Road Object

  • Author

    Xia, Yongquan ; Huang, Min ; Chen, Xiaolei ; Li, Weili

  • Author_Institution
    Zhengzhou Univ. of Light Ind., Zhengzhou, China
  • Volume
    6
  • fYear
    2009
  • fDate
    March 31 2009-April 2 2009
  • Firstpage
    519
  • Lastpage
    522
  • Abstract
    It is important to extract ROI (region of interest) based on vision image processing in intelligent transportation system. A simple and novel approach is proposed to extract the RIO in transportation scene images. First, interest pixels function is designed to detect all the interest pixels from scene image; after that, these interest pixels are grouped to interest regions according some strategy; Last, the regions selected by region threshold are as the result extraction of RIO. The experiment result is presented in the last part of the paper and the proposed approach is feasible and valid.
  • Keywords
    feature extraction; image segmentation; traffic engineering computing; transportation; intelligent transportation system; interest pixels function; on-road object; region of interest extraction approach; region threshold; vision image processing; Acoustic sensors; Computer vision; Data mining; Intelligent sensors; Intelligent transportation systems; Laser radar; Layout; Object detection; Pixel; Road transportation; Extraction; ITS; On-road object; Region of interest;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Engineering, 2009 WRI World Congress on
  • Conference_Location
    Los Angeles, CA
  • Print_ISBN
    978-0-7695-3507-4
  • Type

    conf

  • DOI
    10.1109/CSIE.2009.365
  • Filename
    5170753