時空間画像処理による交通流監視方式の検討  [in Japanese] A Traffic Flow Surveillance Method using Spatio-Temporal Image Processing  [in Japanese]

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Author(s)

Abstract

Traffic flow surveillance systems are used to maintain comfortable driving and road safety. In this paper, we propose a traffic flow surveillance method using a spatio-temporal image processing that provides low cost traffic flow classification and can be applied to systems that are equipped with numerous cameras. This method uses the DTT method, which transforms spatio-temporal images into 2-D data (DTT image) on a directional-temporal plane, and creates an edge-directional histogram of the DTT image. Using the histogram as input signals, the traffic flow is classified into five patterns (Normalcy, Traffic congestion, Heavy traffic congestion, Stop, and Low speed) through a neural network. To create teaching data for the neural network, we used the data obtained by shifting the histograms for standard patterns and by making computer graphics images. Experimental results show the effectiveness of the method. In addition, we describe a low cost system, which is equipped with intelligent cameras that have simple image processing functions, using the proposed method.

Journal

  • IEEJ Transactions on Industry Applications

    IEEJ Transactions on Industry Applications 122(5), 531-540, 2002-05-01

    The Institute of Electrical Engineers of Japan

References:  9

Codes

  • NII Article ID (NAID)
    10008218173
  • NII NACSIS-CAT ID (NCID)
    AN10012320
  • Text Lang
    JPN
  • Article Type
    ART
  • ISSN
    09136339
  • NDL Article ID
    6152861
  • NDL Source Classification
    ZN31(科学技術--電気工学・電気機械工業)
  • NDL Call No.
    Z16-1608
  • Data Source
    CJP  NDL  J-STAGE 
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