PEDESTRIAN TRAFFIC SURVEY BY TRACKING HEADS
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- IMAI Ryuichi
- 法政大学 デザイン工学部
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- YAMAMOTO Yuhei
- 関西大学 環境都市工学部
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- JIANG Wenyuan
- 関西大学 先端科学技術推進機構
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- KAMIYA Daisuke
- 琉球大学 工学部
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- NAKAHARA Masaya
- 大阪電気通信大学 総合情報学部
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- ANDO Yuki
- 法政大学大学院 デザイン工学研究科
Bibliographic Information
- Other Title
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- 頭部に着目した歩行者交通量調査に関する研究
Abstract
<p> Currently, in many cases of pedestrian traffic measurement, pedestrians are counted by field surveying or a visual check of motion images. Accordingly, there are many problems including error counts caused by human error and the risk of heatstroke caused by outdoor measurement for long hours. In addition, in the environment where unspecified large numbers of people come and go, a problem of a decrease in pedestrian measurement precision due to occlusion has been revealed, and there is no solution established for this problem yet.</p><p> In this study, a practical method for pedestrian traffic measurement was derived by verifying the technology of person recognition using deep learning capable of treating occlusion, and clarifying its problems. As a result, it was found that even if most of the person region is hidden, the number of pedestrians can be measured with high precision by applying the proposed method.</p>
Journal
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- Journal of Japan Society of Civil Engineers, Ser. F3 (Civil Engineering Informatics)
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Journal of Japan Society of Civil Engineers, Ser. F3 (Civil Engineering Informatics) 78 (2), I_82-I_92, 2022
Japan Society of Civil Engineers
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Details 詳細情報について
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- CRID
- 1390854717655825152
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- ISSN
- 21856591
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- Text Lang
- ja
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- Data Source
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- JaLC
- Crossref
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- Abstract License Flag
- Disallowed