ITE Technical Group Submission System
Conference Paper's Information
Online Proceedings
[Sign in]
 Go Top Page Go Previous   [Japanese] / [English] 

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, no. 10, AIT2020-129, pp. 265-268, March 2020.
Paper #  
Date of Issue 2020-03-06 (AIT) 
ISSN Print edition: ISSN 1342-6893  Online edition: ISSN 2424-1970
Download PDF

Conference Information
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 
Sub Title (in English)  
Keyword(1) Visualization  
Keyword(2) People flow  
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.)
5th Author's Name  
5th Author's Affiliation ()
6th Author's Name  
6th Author's Affiliation ()
7th Author's Name  
7th Author's Affiliation ()
8th Author's Name  
8th Author's Affiliation ()
9th Author's Name  
9th Author's Affiliation ()
10th Author's Name  
10th Author's Affiliation ()
11th Author's Name  
11th Author's Affiliation ()
12th Author's Name  
12th Author's Affiliation ()
13th Author's Name  
13th Author's Affiliation ()
14th Author's Name  
14th Author's Affiliation ()
15th Author's Name  
15th Author's Affiliation ()
16th Author's Name  
16th Author's Affiliation ()
17th Author's Name  
17th Author's Affiliation ()
18th Author's Name  
18th Author's Affiliation ()
19th Author's Name  
19th Author's Affiliation ()
20th Author's Name  
20th Author's Affiliation ()
Date Time 2020-03-13 13:05:00 
Presentation Time 15 
Registration for AS 
Paper # ITE-AIT2020-129 
Volume (vol) ITE-44 
Number (no) no.10 
Page pp.265-268 
#Pages ITE-4 
Date of Issue ITE-AIT-2020-03-06 

[Return to Top Page]

[Return to ITE Web Page]

The Institute of Image Information and Television Engineers (ITE), Japan