情報基盤システム学研究室の福田 匠さん(博士前期課程2年)が、国際会議IEEE(SM'23)においてBest Paper Awardを受賞しました。
Takumi Fukuda of Internet Architecture and Systems lab received the Best Paper Award at IEEE(SM'23). (2023/3/21)

 IEEE(SM) (International Conference on Smart Mobility)は、スマートモビリティに関する最近の研究や開発技術について意見交換を行う国際会議です。IEEE(SM'23)は、2023年3月19日–21日の日程で、サウジアラビア・キングアブドラ エコノミックシティにて開催されました。会議は、「Smart Mobility Technologies」、「City Planning for Smart Mobility」、「Smart Mobility Governance」の3つのトラックで構成され、福田さんは「Smart Mobility Technologies」で研究発表を行い、トラック内のBest Paperに選出されました。   image
The International Conference on Smart Mobility – IEEE (SM) is designated for reporting recent research, development and deployment results in smart mobility systems and services, their challenging problems and their potential applications. IEEE(SM'23) was held from March 19 to 21 in Kingdom of Saudi Arabia.
  • 受賞者 Awardee:
     福田 匠(Takumi FUKUDA)
    image
    写真左から二人目が福田 匠さん
    image
    写真は福田 匠さん

  • 受賞研究テーマ Research theme:
    "Benchmark of Deep Learning Visual and Far-Infrared Videos Toward Weather-tolerant Pedestrian Traffic Monitoring"
     Sidewalks should be developed and integrated into city planning for economic growth and livability. And it is necessary to obtain data on pedestrians. One type of pedestrian data, pedestrian counting, commonly uses visible and far-infrared cameras to detect and track people. However, it is not clear in which situations the number of pedestrians can be efficiently estimated from each video. In this study, we use visible and far-infrared videos captured on sidewalks to estimate the number of pedestrians. And we investigate the effects of various times and weather on the estimation accuracy. Experimental results showed that the head count accuracy decreased when using visible video at night and in the rain. When using far-infrared video, the accuracy of head count decreased in the range of 23°C–30°C of ambient temperature. This study revealed that in order to achieve a highly accurate head count throughout the day, it is necessary to change the video used depending on the time and ambient temperature or to use both types of video.

  • 著者 Authors:
     福田 匠(博士前期課程2年)、新井 イスマイル、遠藤 新、垣内 正年、藤川 和利
     
  • 受賞者のコメント Awardee's voice
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  • 外部リンク Links to:
     IEEE International Conference on Smart Mobility HP: https://ieeesm.org/

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