Information Extraction about Traffic Situation of Railway with Web Camera Images

نویسندگان

  • Kohei ITO
  • Takafumi SAITO
چکیده

To improve convenience of public transportation, we propose a system that extracts and visualizes information about traffic situation of railway by using web camera images. In our method, we extract train information by existing moving object detection method and restriction about running position of trains. Then, passing time and direction of actual trains are visualized with scheduled time. This system enables users to obtain the accurate information about traffic situation in real time. Our experiment shows that the detection method works well in daytime. The proposed system can effectively provide real-time train frequency at a specific station.

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تاریخ انتشار 2012