A traffic monitoring stream-based real-time vehicular offence detection approach-Reference-Cited by-同舟云学术

A traffic monitoring stream-based real-time vehicular offence detection approach

Published:2017-12-20 Issue:1 Volume:22 Page:53-64
ISSN:1547-2450
Container-title:Journal of Intelligent Transportation Systems
language:en
Short-container-title:Journal of Intelligent Transportation Systems

Author:

Liu Ying¹²,Ou Guoyu¹

Affiliation:

1. School of Computer and Control, University of Chinese Academy of Sciences, Beijing, China

2. Key Lab of Big Data Mining and Knowledge Management, Chinese Academy of Sciences, Beijing, China

Funder

Hainan Provincial Department of Science and Technology

National Natural Science Foundation of China

Guangdong Provincial Science and Technology Project

Publisher

Informa UK Limited

Subject

Applied Mathematics,Computer Science Applications,Aerospace Engineering,Automotive Engineering,Information Systems,Software,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/15472450.2017.1389650

Reference21 articles.

1. A Vision-Based Approach to Collision Prediction at Traffic Intersections

2. Probabilistic neural networks based moving vehicles extraction algorithm for intelligent traffic surveillance systems

3. An Advanced Moving Object Detection Algorithm for Automatic Traffic Monitoring in Real-World Limited Bandwidth Networks

4. A Hybrid Background Subtraction Method with Background and Foreground Candidates Detection

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