An Image Processing Approach for the Measurement of Pedestrian Crossing Length Using Vector Geometry

نویسندگان

  • Mohammad Shorif Uddin
  • Tadayoshi Shioyama
چکیده

A new and simple image processing approach for the measurement of the length of pedestrian crossings with a view to develop a travel aid for the blind people is described. In a crossing, the usual black road surface is painted with constant width periodic white bands. The crossing length is estimated using vector geometry from the leftand the right-border lines, the first-, the secondand the end-edge lines of the crossing region. Image processing techniques are applied on the crossing image to find these lines. Experimental results using real road scenes with pedestrian crossing confirm the effectiveness of the proposed method. key words: image analysis, computer vision, pedestrian crossing, vector geometry, travel aid for the blind

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عنوان ژورنال:
  • IEICE Transactions

دوره 88-D  شماره 

صفحات  -

تاریخ انتشار 2005