Object tracking using ReIdentification

Abstract

In Smart City planning, vehicle counting is very important task. In this task we propose to use Re-Identification model. Using CNN with cosine similarity we evaluate Re-Identification to replace centroid object tracking. We reached 89% accuracy, which is a little behind using centroid object tracking but it is more simple and have enough room to improve.