Gait-based person identification using 3D LiDAR and long short-term memory deep networks-Reference-Cited by-同舟云学术

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Gait-based person identification using 3D LiDAR and long short-term memory deep networks

Published:2020-07-16 Issue:18 Volume:34 Page:1201-1211
ISSN:0169-1864
Container-title:Advanced Robotics
language:en
Short-container-title:Advanced Robotics

Author:

Yamada Hiroyuki¹²,Ahn Jeongho¹,Mozos Oscar Martinez³^ORCID,Iwashita Yumi⁴,Kurazume Ryo⁵^ORCID

Affiliation:

1. Graduate School of Information Science and Electrical Engineering, Kyushu University, Fukuoka, Japan

2. Research & Development Group, Hitachi, Ltd., Ibaraki, Japan

3. Centre for Applied Autonomous Sensor Systems, Örebro University, Örebro, Sweden

4. Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA

5. Faculty of Information Science and Electrical Engineering, Kyushu University, Fukuoka, Japan

Publisher

Informa UK Limited

Subject

Computer Science Applications,Hardware and Architecture,Human-Computer Interaction,Software,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/01691864.2020.1793812

Reference34 articles.

1. Bouchrika I, Nixon MS. People detection and recognition using gait for automated visual surveillance. 2006 IET Conference on Crime and Security; 2006 Jun; London. p. 576–581.

2. Automatic extraction and description of human gait models for recognition purposes

3. Model-based human gait recognition using leg and arm movements

4. Automated person recognition by walking and running via model-based approaches

5. Shiraga K, Makihara Y, Muramatsu D. Geinet: View-invariant gait recognition using a convolutional neural network. 2016 International Conference on Biometrics (ICB); 2016 Jun; Halmstad, Sweden. p. 1–8.

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2. A Novel Multi-Scaled Deep Convolutional Structure for Punctilious Human Gait Authentication;Biomimetics;2024-06-16

3. AFPILD: Acoustic footstep dataset collected using one microphone array and LiDAR sensor for person identification and localization;Information Fusion;2024-04

4. Single Person Identification and Activity Estimation in a Room from Waist-Level Contours Captured by 2D Light Detection and Ranging;Sensors;2024-02-17

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