Robustly Tracking People with LIDARs in a Crowded Museum for Behavioral Analysis

Md. Golam RASHED; Ryota SUZUKI; Takuya YONEZAWA; Antony LAM; Yoshinori KOBAYASHI; Yoshinori KUNO

doi:10.1587/transfun.E100.A.2458

Robustly Tracking People with LIDARs in a Crowded Museum for Behavioral Analysis

Md. Golam RASHED, Ryota SUZUKI, Takuya YONEZAWA, Antony LAM, Yoshinori KOBAYASHI, Yoshinori KUNO

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This introduces a method which uses LIDAR to identify humans and track their positions, body orientation, and movement trajectories in any public space to read their various types of behavioral responses to surroundings. We use a network of LIDAR poles, installed at the shoulder level of typical adults to reduce potential occlusion between persons and/or objects even in large-scale social environments. With this arrangement, a simple but effective human tracking method is proposed that works by combining multiple sensors' data so that large-scale areas can be covered. The effectiveness of this method is evaluated in an art gallery of a real museum. The result revealed good tracking performance and provided valuable behavioral information related to the art gallery.

Publication: IEICE TRANSACTIONS on Fundamentals Vol.E100-A No.11 pp.2458-2469

Publication Date: 2017/11/01

Publicized

Online ISSN: 1745-1337

DOI: 10.1587/transfun.E100.A.2458

Type of Manuscript: PAPER

Category: Vision

Authors

Md. Golam RASHED
  University of Rajshahi
Ryota SUZUKI
  National Institute of Advanced Industrial Science and Technology
Takuya YONEZAWA
  Saitama University
Antony LAM
  Saitama University
Yoshinori KOBAYASHI
  Saitama University
Yoshinori KUNO
  Saitama University

Keyword

LIDARs, human behavior tracking, art gallery visitor

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Md. Golam RASHED, Ryota SUZUKI, Takuya YONEZAWA, Antony LAM, Yoshinori KOBAYASHI, Yoshinori KUNO, "Robustly Tracking People with LIDARs in a Crowded Museum for Behavioral Analysis" in IEICE TRANSACTIONS on Fundamentals, vol. E100-A, no. 11, pp. 2458-2469, November 2017, doi: 10.1587/transfun.E100.A.2458.
Abstract: This introduces a method which uses LIDAR to identify humans and track their positions, body orientation, and movement trajectories in any public space to read their various types of behavioral responses to surroundings. We use a network of LIDAR poles, installed at the shoulder level of typical adults to reduce potential occlusion between persons and/or objects even in large-scale social environments. With this arrangement, a simple but effective human tracking method is proposed that works by combining multiple sensors' data so that large-scale areas can be covered. The effectiveness of this method is evaluated in an art gallery of a real museum. The result revealed good tracking performance and provided valuable behavioral information related to the art gallery.
URL: https://globals.ieice.org/en_transactions/fundamentals/10.1587/transfun.E100.A.2458/_p

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@ARTICLE{e100-a_11_2458,
author={Md. Golam RASHED, Ryota SUZUKI, Takuya YONEZAWA, Antony LAM, Yoshinori KOBAYASHI, Yoshinori KUNO, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Robustly Tracking People with LIDARs in a Crowded Museum for Behavioral Analysis},
year={2017},
volume={E100-A},
number={11},
pages={2458-2469},
abstract={This introduces a method which uses LIDAR to identify humans and track their positions, body orientation, and movement trajectories in any public space to read their various types of behavioral responses to surroundings. We use a network of LIDAR poles, installed at the shoulder level of typical adults to reduce potential occlusion between persons and/or objects even in large-scale social environments. With this arrangement, a simple but effective human tracking method is proposed that works by combining multiple sensors' data so that large-scale areas can be covered. The effectiveness of this method is evaluated in an art gallery of a real museum. The result revealed good tracking performance and provided valuable behavioral information related to the art gallery.},
keywords={},
doi={10.1587/transfun.E100.A.2458},
ISSN={1745-1337},
month={November},}

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TY - JOUR
TI - Robustly Tracking People with LIDARs in a Crowded Museum for Behavioral Analysis
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2458
EP - 2469
AU - Md. Golam RASHED
AU - Ryota SUZUKI
AU - Takuya YONEZAWA
AU - Antony LAM
AU - Yoshinori KOBAYASHI
AU - Yoshinori KUNO
PY - 2017
DO - 10.1587/transfun.E100.A.2458
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E100-A
IS - 11
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - November 2017
AB - This introduces a method which uses LIDAR to identify humans and track their positions, body orientation, and movement trajectories in any public space to read their various types of behavioral responses to surroundings. We use a network of LIDAR poles, installed at the shoulder level of typical adults to reduce potential occlusion between persons and/or objects even in large-scale social environments. With this arrangement, a simple but effective human tracking method is proposed that works by combining multiple sensors' data so that large-scale areas can be covered. The effectiveness of this method is evaluated in an art gallery of a real museum. The result revealed good tracking performance and provided valuable behavioral information related to the art gallery.
ER -