• DocumentCode
    3313226
  • Title

    A real time motion estimation for traffic monitoring using sloped diamond search

  • Author

    Johri, Tony ; Bahri, Varun ; Sahu, Rajendra

  • Author_Institution
    ABV-IIITM Gwalior, Gwalior
  • fYear
    2008
  • fDate
    3-6 April 2008
  • Firstpage
    511
  • Lastpage
    514
  • Abstract
    This paper focus on fast block based motion estimation for traffic monitoring using a stationary camera. As the traffic needs to be monitored continuously a real time motion estimation algorithm is required which could provide good match as well. Most of the existing block matching algorithms fail to give good match when the speed of motion varies too much. This algorithm (RTME-SDS) overcomes this problem by estimating the initial position to be searched using the motion vector of previous frame. At this position we apply sloped diamond search. Since the traffic move along a fixed path at different speed, this algorithm gives a good initial position to continue with the estimation. RTME-SDS improves over the above mentioned algorithm by more than 45% in terms of complexity giving a match close to above mentioned algorithm.
  • Keywords
    cameras; image matching; motion estimation; traffic engineering computing; vectors; video signal processing; block matching algorithm; motion vector; position estimation; real time motion estimation; sloped diamond search; stationary camera; traffic monitoring; traffic video; Cameras; Condition monitoring; MPEG 4 Standard; Motion detection; Motion estimation; PSNR; Road vehicles; Video coding; Mean square error(MSE); Peak Signal to noise ratio(PSNR); motion estimation; motion vector;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Southeastcon, 2008. IEEE
  • Conference_Location
    Huntsville, AL
  • Print_ISBN
    978-1-4244-1883-1
  • Electronic_ISBN
    978-1-4244-1884-8
  • Type

    conf

  • DOI
    10.1109/SECON.2008.4494348
  • Filename
    4494348