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A Brief Overview on Ion Current Detecting Technology of Gasoline Engines and Its Application Potential in FSAE Read chapter Read first chapter

2022 | OriginalPaper | Chapter

Intelligent Traffic Accident Detection System Using Surveillance Video

Authors : Pengfei Sun, Qinghe Liu

Published in: Proceedings of China SAE Congress 2020: Selected Papers

Publisher: Springer Nature Singapore

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Abstract

With the development of the intelligent transportation system, we propose a traffic accident detection system based on roadside traffic monitoring cameras. By combing deep learning-based object detection and tracking technology and expert system-based traffic accident identification technology, a stable traffic accident detection system is implemented in conventional scenarios. In detail, we create a dataset containing 30,000 images, the objects in which are labeled as accident participants, such as pedestrian, bicyclist, tricyclist, car, SUV, bus, and truck. Then the dataset is used to train an object detection and tracking network. Thirdly, we design the rules of accident identification based on spatial temporal constraints. Finally, the system was verified using 40 real road traffic accidents. The experimental results show that the system can achieve 90.91% precision and 81.08% recall.

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Metadata
Title
Intelligent Traffic Accident Detection System Using Surveillance Video
Authors
Pengfei Sun
Qinghe Liu
Copyright Year
2022
Publisher
Springer Nature Singapore
Book
Proceedings of China SAE Congress 2020: Selected Papers

Print ISBN: 978-981-16-2089-8

Electronic ISBN: 978-981-16-2090-4

Copyright Year: 2022

DOI
https://doi.org/10.1007/978-981-16-2090-4_61

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