Journal of Robotics, Networking and Artificial Life

Volume 7, Issue 3, December 2020, Pages 152 - 155

Estimation of Self-Posture of a Pedestrian Using MY VISION Based on Depth and Motion Network

Authors
Joo Kooi Tan1, *, Tomoyuki Kurosaki2
1Faculty of Engineering, Kyushu Institute of Technology, 1-1 Sensuicho, Tobata, Kitakyushu, Fukuoka 804-8550, Japan
2Graduate School of Engineering, Kyushu Institute of Technology, 1-1 Sensuicho, Tobata, Kitakyushu, Fukuoka 804-8550, Japan
*Corresponding author. Email: etheltan@cntl.kyutech.ac.jp
Corresponding Author
Joo Kooi Tan
Received 10 November 2019, Accepted 18 May 2020, Available Online 11 September 2020.
DOI
https://doi.org/10.2991/jrnal.k.200909.002How to use a DOI?
Keywords
Posture, posture analysis, pedestrian, MY VISION, depth and motion network
Abstract

A system is proposed that performs gait analysis of a pedestrian to improve a walk posture and at the same time to prevent a fall. In the system, a user walks with a chest-mounted camera. His/her walking posture is estimated using a pair of images obtained from the camera. Normally it is difficult to estimate the camera movement, when the parallax of the image pair is small. Therefore, the system uses a convolutional neural network. Optical flow and camera movement, and depth images are estimated alternately. Satisfactory results were obtained experimentally.

Copyright
© 2020 The Authors. Published by Atlantis Press B.V.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
Journal of Robotics, Networking and Artificial Life
Volume-Issue
7 - 3
Pages
152 - 155
Publication Date
2020/09
ISSN (Online)
2352-6386
ISSN (Print)
2405-9021
DOI
https://doi.org/10.2991/jrnal.k.200909.002How to use a DOI?
Copyright
© 2020 The Authors. Published by Atlantis Press B.V.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Joo Kooi Tan
AU  - Tomoyuki Kurosaki
PY  - 2020
DA  - 2020/09
TI  - Estimation of Self-Posture of a Pedestrian Using MY VISION Based on Depth and Motion Network
JO  - Journal of Robotics, Networking and Artificial Life
SP  - 152
EP  - 155
VL  - 7
IS  - 3
SN  - 2352-6386
UR  - https://doi.org/10.2991/jrnal.k.200909.002
DO  - https://doi.org/10.2991/jrnal.k.200909.002
ID  - Tan2020
ER  -