An Adaptive Vector-Based Vehicles Detection for Urban Intersection Camera Sensors Under Nighttime Illumination-Reference-Cited by-同舟云学术

An Adaptive Vector-Based Vehicles Detection for Urban Intersection Camera Sensors Under Nighttime Illumination

Published:2022-12-01 Issue:23 Volume:22 Page:23042-23050
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Zhang Yunsheng¹^ORCID,Zhang Yiqiong²^ORCID,Zhao Chihang³^ORCID,Leng Kaijun⁴^ORCID,Park Kyoung-Su⁵^ORCID

Affiliation:

1. Center of Hubei Cooperative Innovation for Emissions Trading System, Institute of Big Data and Digital Economy, Research Center of Hubei Logistics, Hubei University of Economics, Wuhan, China

2. School of Computer and Communication Engineering, Northeastern University at Qinhuangdao, Qinhuangdao, China

3. College of Transportation, Southeast University, Nanjing, China

4. Research Center of Hubei Logistics Development, Hubei University of Economics, Wuhan, China

5. Department of Mechanical Engineering, Gachon University, Seongnam-si, Gyeonggi-do, South Korea

Funder

Department of Education Project of Hubei Province

Social Science Fund of Shaanxi Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/9966666/09929289.pdf?arnumber=9929289

Reference34 articles.

1. Adaptive Vector-Based Sample Consensus Model for Moving Target Detection in Infrared Video

2. An Adaptive Background Modeling Method for Foreground Segmentation

3. Change detection and background extraction by linear algebra

4. Generalization of the Lambertian model and implications for machine vision

5. CDnet 2014: An Expanded Change Detection Benchmark Dataset

Cited by 1 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. BgSubNet: Robust Semisupervised Background Subtraction in Realistic Scenes;IEEE Sensors Journal;2024-03-15