Real-Time Traffic Status Detection from on-Line Images Using Generic Object Detection System with Deep Learning

Chan Tong Lam, Benjamin Ng, Chi Wang Chan

研究成果: Conference contribution同行評審

9 引文 斯高帕斯(Scopus)

摘要

In order to leverage the traffic burden and reduce traffic time, the Macao Government provides instant on-line traffic information for road users. In this paper, we propose a unified low-cost real-time traffic status detection system using free on-line images. Since the quality for vehicle detection from these on-line images can vary very differently, depending on the locations of cameras and weather conditions, we propose to use a generic object detection system with deep learning, e.g. YOLOv3, to detect real-time traffic status from these images. In order to determine the traffic status using the predicted bounding boxes and the number of detected vehicles output from the YOLOv3 detector, we propose to use the intersection over union (IOU) of the union of the bounding boxes for multiple objects predicted on images taken at different times, termed mIOU, and the corresponding estimated number of vehicles to estimate the multi-level traffic status. From the experimental results, it was found that the precision and recall rate can achieve 86% and 87%, respectively, depending on the locations of the cameras. It was also shown that the proposed system using YOLOv3 and mIOU can be used for traffic status estimation for low-resolution images, without requiring any pre-training of networks for different settings. The proposed traffic detection technique is applicable for a wide range of application scenarios.

原文English
主出版物標題2019 IEEE 19th International Conference on Communication Technology, ICCT 2019
發行者Institute of Electrical and Electronics Engineers Inc.
頁面1506-1510
頁數5
ISBN(電子)9781728105352
DOIs
出版狀態Published - 10月 2019
事件19th IEEE International Conference on Communication Technology, ICCT 2019 - Xi'an, China
持續時間: 16 10月 201919 10月 2019

出版系列

名字International Conference on Communication Technology Proceedings, ICCT

Conference

Conference19th IEEE International Conference on Communication Technology, ICCT 2019
國家/地區China
城市Xi'an
期間16/10/1919/10/19

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