Features for Multi-Target Multi-Camera Tracking and Re-Identification

no code implementations • CVPR 2018 • Ergys Ristani, Carlo Tomasi

We examine the correlation between good Re-ID and good MTMCT scores, and perform ablation studies to elucidate the contributions of the main components of our system.

Person Re-Identification

Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking

23 code implementations • 6 Sep 2016 • Ergys Ristani, Francesco Solera, Roger S. Zou, Rita Cucchiara, Carlo Tomasi

To help accelerate progress in multi-target, multi-camera tracking systems, we present (i) a new pair of precision-recall measures of performance that treats errors of all types uniformly and emphasizes correct identification over sources of error; (ii) the largest fully-annotated and calibrated data set to date with more than 2 million frames of 1080p, 60fps video taken by 8 cameras observing more than 2, 700 identities over 85 minutes; and (iii) a reference software system as a comparison baseline.