Privacy-preserving Pedestrian Tracking using Distributed 3D LiDARs

Author:

Ohno Masakazu1,Ukyo Riki1,Amano Tatsuya1,Rizk Hamada1,Yamaguchi Hirozumi1

Affiliation:

1. Osaka University,Osaka,Japan

Funder

JSPS KAKENHI

Publisher

IEEE

Cited by 16 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Towards intelligent environments: human sensing through 3D point cloud;Journal of Reliable Intelligent Environments;2024-08-06

2. Protecting Cross-Camera Person Re-Identification Data with Image Differential Privacy;2024 IEEE International Conference on Smart Computing (SMARTCOMP);2024-06-29

3. Advancing Smart Computing: A Comprehensive Tutorial to 3D Point Clouds from Installation to Efficient Processing and Context Recognition for Next-Gen Applications;2024 IEEE International Conference on Smart Computing (SMARTCOMP);2024-06-29

4. RISense: 6G-Enhanced Human Activity Recognition System with RIS and Deep LDA;2024 25th IEEE International Conference on Mobile Data Management (MDM);2024-06-24

5. Privacy-preserving pedestrian tracking with path image inpainting and 3D point cloud features;Pervasive and Mobile Computing;2024-05

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