Person Re-Identification without Identification via Event Anonymization
Author:
Affiliation:
1. Pattern Analysis & Computer Vision (PAVIS) - Istituto Italino di Tecnologia,Italy
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10376473/10376477/10377578.pdf?arnumber=10377578
Reference43 articles.
1. Event-driven Re-Id: A New Benchmark and Method Towards Privacy-Preserving Person Re-Identification
2. Re-identification with RGB-D Sensors
3. Direct face detection and video reconstruction from event cameras
4. A Database for Person Re-Identification in Multi-Camera Surveillance Networks
5. DHP19: Dynamic Vision Sensor 3D Human Pose Dataset
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1. AGS: Transferable adversarial attack for person re-identification by adaptive gradient similarity attack;Knowledge-Based Systems;2024-09
2. An Application-Driven Survey on Event-Based Neuromorphic Computer Vision;Information;2024-08-09
3. Event Anonymization: Privacy-Preserving Person Re-Identification and Pose Estimation in Event-Based Vision;IEEE Access;2024
4. Learning to Describe Scenes via Privacy-Aware Designed Optical Lens;IEEE Transactions on Computational Imaging;2024
5. TeD-SPAD: Temporal Distinctiveness for Self-supervised Privacy-preservation for video Anomaly Detection;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01
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