Scalable object detection pipeline for traffic cameras: Application to Tfl JamCams

作者：

Highlights：

• Scalable real-time video detection pipeline using traffic cams.

• Built upon YOLOv3 and Docker.

• Results in London are consistent with existing traffic patterns.

摘要

•Scalable real-time video detection pipeline using traffic cams.•Built upon YOLOv3 and Docker.•Results in London are consistent with existing traffic patterns.

论文关键词：Traffic detection,Video processing,Tfl JamCam,YOLO

论文评审过程：Received 17 August 2020, Revised 30 January 2021, Accepted 2 May 2021, Available online 7 May 2021, Version of Record 22 May 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115154