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Paper Abstract and Keywords
Presentation 2020-03-13 13:05
Spatial and Temporal Visualization of Pedestrians based on Walking States
Natsumi Tsuchida, Yuri Miyagi (Ocha Univ.), Masaki Onishi (AIST), Takayuki Itoh (Ocha Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) People flow has useful knowledge in various fields including traffic, disaster prevention, and marketing. We can obtain such knowledge by looking for the movement patterns of each person and the features of each place.
We had proposed a visualization method that summarizes the paths of a large number of pedestrians in order to discover their useful information. However, we have not been working on visualization focusing on walking states whether people are moving rapidly or slowly. This paper presents a visualization method based on the walking states of a large number of pedestrian paths measured by using cameras. The visualization tool allows users to observe walking people from spatial and temporal views.
Keyword (in Japanese) (See Japanese page) 
(in English) Visualization / People flow / / / / / /  
Reference Info. ITE Tech. Rep., vol. 44, pp. 265-268, March 2020.
Paper #  
Date of Issue 2020-03-06 (AIT) 
ISSN Print edition: ISSN 1342-6893    Online edition: ISSN 2424-1970
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Conference Information
Committee AIT IIEEJ AS CG-ARTS  
Conference Date 2020-03-13 - 2020-03-13 
Place (in Japanese) (See Japanese page) 
Place (in English) Tokyo University of Technology 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Expressive Japan 2020 
Paper Information
Registration To AS 
Conference Code 2020-03-AIT-IIEEJ-AS-ARTS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Spatial and Temporal Visualization of Pedestrians based on Walking States 
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Keyword(1) Visualization  
Keyword(2) People flow  
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1st Author's Name Natsumi Tsuchida  
1st Author's Affiliation Ochanomizu University (Ocha Univ.)
2nd Author's Name Yuri Miyagi  
2nd Author's Affiliation Ochanomizu University (Ocha Univ.)
3rd Author's Name Masaki Onishi  
3rd Author's Affiliation National Institute of Advanced Industrial Science and Technology (AIST)
4th Author's Name Takayuki Itoh  
4th Author's Affiliation Ochanomizu University (Ocha Univ.)
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Speaker Author-1 
Date Time 2020-03-13 13:05:00 
Presentation Time 15 minutes 
Registration for AS 
Paper # AIT2020-129 
Volume (vol) vol.44 
Number (no) no.10 
Page pp.265-268 
#Pages
Date of Issue 2020-03-06 (AIT) 


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