2V-Gait: Gait Recognition using 3D LiDAR Robust to Changes in Walking Direction and Measurement Distance-Reference-Cited by-同舟云学术

2V-Gait: Gait Recognition using 3D LiDAR Robust to Changes in Walking Direction and Measurement Distance

Published:2022-01-09 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE/SICE International Symposium on System Integration (SII)
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Author:

Ahn Jeongho¹,Nakashima Kazuto²,Yoshino Koki¹,Iwashita Yumi³,Kurazume Ryo²

Affiliation:

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

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

3. California Institute of Technology,Jet Propulsion Laboratory,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9708598/9708599/09708899.pdf?arnumber=9708899

Reference12 articles.

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

2. Dynamic Distance-Based Shape Features for Gait Recognition

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

4. Gait-Based Person Identification Method Using Shadow Biometrics for Robustness to Changes in the Walking Direction

5. Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting;shi;Advances in Neural Information Processing Systems (NIPS),2015

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