Event-driven Re-Id: A New Benchmark and Method Towards Privacy-Preserving Person Re-Identification

Author:

Ahmad Shafiq1,Scarpellini Gianluca1,Morerio Pietro2,Bue Alessio Del2

Affiliation:

1. Universita degli Studi di,Genova,Italy

2. Pattern Analysis & Computer Vision (PAVIS) - Istituto Italino di Tecnologia

Publisher

IEEE

Reference43 articles.

1. A Privacy-Preserving Framework for Surveillance Systems

2. EV-Gait: Event-Based Robust Gait Recognition Using Dynamic Vision Sensors

3. Lifting Monocular Events to 3D Human Poses

4. Performance measures and a data set for multi-target, multi-camera tracking;ristani;European Conference on Computer Vision workshop on Benchmarking MultiTarget Tracking,2016

5. High speed and high dynamic range video with an event camera;rebecq;IEEE Transactions on Pattern Analysis and Machine Intelligence,2019

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