• DocumentCode
    2771841
  • Title

    Vehicle Detection and Neural Network Application for Vehicle Classification

  • Author

    Daigavane, P.M. ; Bajaj, Preeti R. ; Daigavane, M.B.

  • Author_Institution
    S.D. Coll. of Eng., Wardha, India
  • fYear
    2011
  • fDate
    7-9 Oct. 2011
  • Firstpage
    758
  • Lastpage
    762
  • Abstract
    In recent years, video processing have been widely used in traffic management. Vehicle detection and vehicle classification using neural network (NN), can be achieved by video monitoring systems. In most vehicle detection methods in the literature, only the detection of vehicles in frames of the given video is emphasized. However, further analysis is needed in order to obtain the useful information for traffic management such as real time traffic density and number of vehicle types passing through roads. This paper presents application of neural network for vehicle detection and classification.
  • Keywords
    image classification; neural nets; object detection; road vehicles; traffic engineering computing; video signal processing; neural network application; traffic density; traffic management; vehicle classification; vehicle detection; video monitoring systems; video processing; Artificial neural networks; Computer vision; Image segmentation; Motion segmentation; Road transportation; Vehicle detection; Vehicles; Vehicle Identification; neural network; vehicle classification; vehicle tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Communication Networks (CICN), 2011 International Conference on
  • Conference_Location
    Gwalior
  • Print_ISBN
    978-1-4577-2033-8
  • Type

    conf

  • DOI
    10.1109/CICN.2011.168
  • Filename
    6112973