監視映像における空間解像度の違いによる人物検出の精度評価

抄録

We aim to provide a real-time, high-quality and low network load video surveillance system. In this paper, for an early stage, we evaluate an accuracy of human detection in different resolutions of surveillance videos by using state-of-the-art human detection algorithms: YOLOv2 and OpenPose. Evaluation results conclude that adaptive control of video resolution may improve precision value or recall value.