Simple Online and Realtime Tracking (SORT) is a pragmatic approach to multiple object tracking with a focus on simple, effective algorithms.
Online multi-object tracking is a fundamental problem in time-critical video analysis applications.
Ranked #2 on Online Multi-Object Tracking on MOT16
To address this, we propose to automatically synthesize a large-scale person re-identification dataset following a set-up similar to real surveillance but with virtual environments, and then use the synthesized person images to train a generalizable person re-identification model.
Most existing person re-identification methods compute pairwise similarity by extracting robust visual features and learning the discriminative metric.