id 
ecaade2016_070 
authors 
Takagi, Naoya and Takizawa, Atsushi 
year 
2016 
title 
Development of The Method for Estimating Traffic Volume of Pedestrians in An Underground Mall by Use of Watch Cameras 
source 
Herneoja, Aulikki; Toni Österlund and Piia Markkanen (eds.), Complexity & Simplicity  Proceedings of the 34th eCAADe Conference  Volume 2, University of Oulu, Oulu, Finland, 2226 August 2016, pp. 463472 
summary 
This paper describes a method for estimating pedestrian traffic volume by using video cameras. In the Umeda underground mall in Osaka City, we estimated the traffic volume without tracking technology and while protecting pedestrian's privacy. We developed an original algorithm that roughly estimates the traffic volume of pedestrians from sequential images of video cameras. We focused on a line on each image cut out from video and made a new image which shows the spatiotemporal distribution of pedestrians. We defined this image as 'time historical image of pedestrian spots (THIPS)'. In a THIPS, a pedestrian is regarded as a cluster of connected pixels with the same label. We captured the spatiotemporal distribution of pedestrians by using these images. We found that this algorithm requires a THIPS to estimate the number of pedestrians who passed the spot for a few minutes and plural THIPSs to estimate their traveling directions. Finally, we concluded that this algorithm is an efficient means of estimating pedestrian traffic volume. 
wos 
WOS:000402064400046 
keywords 
Pedestrian Flow; Underground Mall; Spatiotemporal Distribution; Watch Cameras; Background Subtraction; Integer Linear Problem 
series 
eCAADe 
email 
t.naoya.oioi.etoomouyo@gmail.com 
full text 
file.pdf (4,775,374 bytes) 
references 
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Kataoka, S, Yoshida, M, Furtlehner, C and Tanaka, K (2014)
Traffic data reconstruction based on Markov random field modeling
, Inverse Problems, 30(2), p. 15



Kinoshita, Y, Sasazawa, M, Yoshida, K and Ishima, K (2015)
Traffic Volume Estimation Method Using Data Assimilation A Study of Traffic Volume Estimation in Railway Station, Part2
, Summaries of technical papers of Annual Meeting Architectural Institute of Japan Architectural Institute of Japan, Kanto, p. 5346



Takagi, N and Takizawa, A (2015)
A Study on the Methods for Estimating the Distribution of Pedestrians in an Underground Mall by Use of Watch Cameras
, Computer Aided Drafting, Design and Manufacturing, 25(4), pp. 3238



Yamaguchi, Y, Yamashita, T and Fujiyoshi, H (2012)
Human Detection Based on Statistical Learning
, IPSJ SIG Notes, 18, pp. 114



last changed 
2017/06/28 08:46 
