Privacy-preserving pedestrian tracking with path image inpainting and 3D point cloud features-Reference-Cited by-同舟云学术

Privacy-preserving pedestrian tracking with path image inpainting and 3D point cloud features

Published:2024-05 Issue: Volume:100 Page:101914
ISSN:1574-1192
Container-title:Pervasive and Mobile Computing
language:en
Short-container-title:Pervasive and Mobile Computing

Author:

Ohno Masakazu^ORCID,Ukyo Riki,Amano Tatsuya^ORCID,Rizk Hamada^ORCID,Yamaguchi Hirozumi^ORCID

Funder

National Institute of Information and Communications Technology

Publisher

Elsevier BV

Reference45 articles.

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5. C. Hinojosa, J.C. Niebles, H. Arguello, Learning Privacy-Preserving Optics for Human Pose Estimation, in: Proc. of 2021 IEEE/CVF International Conference on Computer Vision, CVPR, 2021, pp. 2573–2582.

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