Privacy-preserving Pedestrian Tracking using Distributed 3D LiDARs

• Published in: 2023 IEEE International Conference on Pervasive Computing and Communications (PerCom) pp. 43 - 52
• Main Authors: Ohno, Masakazu, Ukyo, Riki, Amano, Tatsuya, Rizk, Hamada, Yamaguchi, Hirozumi
• Format: Conference Proceeding
• Language: English
• Published: IEEE 13.03.2023
• Subjects: Adaptation models; Feature extraction; Laser radar; LiDAR; Pedestrian tracking; Pervasive computing; Point cloud compression; Point cloud-based recognition; Privacy; Privacy-preserving; Re-ID; Three-dimensional displays

The growing demand for intelligent environments unleashes an extraordinary cycle of privacy-aware applications that makes individuals' life more comfortable and safe. Examples of these applications include pedestrian tracking systems in large areas. Although the ubiquity of camera-based systems...