[2Yin5] インタラクティブ2

[2Yin5-15] Object tracking using ReIdentification

〇junichi okubo¹, kouhei ozasa¹, masahiro okano¹, hiroaki sugawara¹ (1.Yachiyo enginnering co.ltd.)

Keywords:vehicle tracking, DNN, reidentification

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.