Privacy-preserving Pedestrian Tracking using Distributed 3D LiDARs.
Masakazu OhnoRiki UkyoTatsuya AmanoHamada RizkHirozumi YamaguchiPublished in: PERCOM (2023)
Keyphrases
- privacy preserving
- horizontally partitioned data
- pedestrian tracking
- horizontally partitioned
- multi party
- partitioned data
- privacy preserving data mining
- privacy sensitive
- privacy preservation
- secure multiparty computation
- vertically partitioned data
- privacy preserving classification
- private information
- privacy protection
- preserving privacy
- distributed environment
- privacy concerns
- pedestrian detection
- privacy requirements
- infrared imagery
- video surveillance
- privacy issues
- multi target tracking
- data privacy
- sensitive information
- scalar product
- pedestrian detection and tracking
- data perturbation
- distributed data
- peer to peer
- private data
- sensitive data
- privacy preserving association rule mining
- data mining