Kirari! Tracker: LiDARと深層学習エンジンを用いた リアルタイム特定人物追跡システムの検討

抄録

This paper proposes that a new real time Camera-LiDAR fusion system for tracking of people. Our system provides object labels and the 3D position of people using the deep neural network model called YOLO and LiDAR. By using our system, pseudo-3D-images are recognized sifting back and forward on “Kirari!” stage.