IEEESM'23は3月19〜21日にサウジアラビア・キングアブドラ エコノミックシティで開催され，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が行われました．
会議は下記の3つのトラックから構成されています．
1. Smart Mobility Technologies
2. City Planning for Smart Mobility
3. Smart Mobility Governance
福田は1. 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．
受賞研究テーマ Research theme:
“Benchmark of Deep Learning Visual and Far-Infrared Videos Toward Weather-tolerant Pedestrian Traffic Monitoring”
Abstract: 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:
この度は栄誉ある賞を頂き，大変嬉しく思います．ご指導いただいた先生方や，研究のサポートをしていただいた研究室の皆様に感謝申し上げます．
外部リンク Links to:
IEEE International Conference on Smart Mobility — IEEE (SM’23)
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