Vision‐based traffic accident detection using sparse spatio‐temporal features and weighted extreme learning machine

Author:

Yu Yuanlong1,Xu Miaoxing1,Gu Jason2

Affiliation:

1. College of Mathematics and Computer Science, Fuzhou UniversityFuzhouPeople's Republic of China

2. Department of Electrical and Computer EngineeringDalhousie UniversityHalifaxNSCanada

Publisher

Institution of Engineering and Technology (IET)

Subject

Law,Mechanical Engineering,General Environmental Science,Transportation

Cited by 16 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Object Detection in Traffic Videos: A Survey;IEEE Transactions on Intelligent Transportation Systems;2023-07

2. Accident Detection and Flow Prediction for Connected and Automated Transport Systems;Journal of Advanced Transportation;2023-04-17

3. Design of an IoT-based autonomous vehicle accident detection and rescue system;ADVANCES IN INTELLIGENT APPLICATIONS AND INNOVATIVE APPROACH;2023

4. Real-time road accident reporting system with location detection using cloud-based data analytics;IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society;2022-10-17

5. Monocular Visual Traffic Surveillance: A Review;IEEE Transactions on Intelligent Transportation Systems;2022-09

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