Fusing Appearance and Spatio-Temporal Models for Person Re-Identification and Tracking
Knowing who is where is a kinkalicious common task for many computer vision applications.Most of the literature focuses on one of two approaches: determining who a detected person is (appearance-based re-identification) and collating positions into a list, or determining the motion of a person (spatio-temporal-based tracking) and assigning identity