Deficient Tactile Paving Detection from Pedestrian Viewpoint video

DOI
  • WATANABE Kento
    Graduate School of Information & Engineering The University of Electro-Communications
  • TAKAHASHI Hiroki
    Graduate School of Information & Engineering The University of Electro-Communications

Bibliographic Information

Other Title
  • 視覚障害者誘導用ブロック欠損判定のための歩行者視点動画解析

Abstract

A survey by the Cabinet Office, Labor and Welfare in Japan reported that the number of people with visual impairment is 315,000 in 2013. Tactile paving, therefore, take a very important role. Many tactile paving are, however, inappropriate. This paper describes a deficient tactile paving detection algorithm from a pedestrian view point video. At first, tactile paving surfaces regions are extracted by color thresholding in the first frame. The regions of the following frames are traced based on location of the regions extracted in the previous frame. In the following frames, I search only for the tactile paving surfaces area and its surroundings which is detected in the previous frame. After restricting the area for the tactile paving surfaces area which is detected, track the outline of the tactile paving surfaces area. As a result of the experiment, the accuracy of the deficient judgment was 67%, the accuracy of judgment of the straight line part was 65% and the judgment precision of the terminal part was 67%.

Journal

Keywords

Details 詳細情報について

  • CRID
    1390848250125300480
  • NII Article ID
    130007868466
  • DOI
    10.11371/wiieej.17.03.0_93
  • Text Lang
    ja
  • Data Source
    • JaLC
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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