A scalable and privacy preserving approach for counting pedestrians in urban environment.
Pedro CunhaDaniel C. MouraPublished in: AVSS (2015)
Keyphrases
- urban environments
- privacy preserving
- privacy preserving data mining
- urban areas
- vertically partitioned data
- augmented reality
- sensitive information
- privacy preservation
- private information
- multi party
- sensitive data
- privacy issues
- partitioned data
- privacy concerns
- data perturbation
- privacy sensitive
- differential privacy
- data privacy
- preserving privacy
- homomorphic encryption
- scalar product
- secure multiparty computation
- horizontally partitioned data
- low rank textures
- data mining
- route descriptions
- privacy preserving association rule mining