Smart Traffic Monitoring Through Pyramid Pooling Vehicle Detection and Filter-Based Tracking on Aerial Images-Reference-Cited by-同舟云学术

Smart Traffic Monitoring Through Pyramid Pooling Vehicle Detection and Filter-Based Tracking on Aerial Images

Published:2023 Issue: Volume:11 Page:2993-3007
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Rafique Adnan Ahmed¹,Al-Rasheed Amal²^ORCID,Ksibi Amel²^ORCID,Ayadi Manel²,Jalal Ahmad¹,Alnowaiser Khaled³^ORCID,Meshref Hossam⁴,Shorfuzzaman Mohammad⁴^ORCID,Gochoo Munkhjargal⁵^ORCID,Park Jeongmin⁶^ORCID

Affiliation:

1. Department of Computer Science, Air University, Islamabad, Pakistan

2. Department of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia

3. Department of Computer Engineering, College of Computer Engineering and Sciences, Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi Arabia

4. Department of Computer Science, College of Computers and Information Technology, Taif University, Taif, Saudi Arabia

5. Department of Computer Science and Software Engineering, United Arab Emirates University, Al Ain, United Arab Emirates

6. Department of Computer Engineering, Tech University of Korea, Siheung-si, South Korea

Funder

Basic Science Research Program through the National Research Foundation (NRF) funded by the Ministry of Education, Republic of Korea

Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia, through Princess Nourah bint Abdulrahman University Researchers Supporting Project

Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia

Taif University, Taif, Saudi Arabia, through the Taif University Researchers Supporting Project

Emirates Center for Mobility Research (ECMR), United Arab Emirates University, Al Ain

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10006795.pdf?arnumber=10006795

Reference38 articles.

1. Robust Vehicle Detection in Aerial Images Based on Cascaded Convolutional Neural Networks

2. Fast multiclass vehicle detection on aerial images;liu;IEEE Geosci Remote Sens Lett,2015

3. Vehicle detection in aerial imagery : A small target detection benchmark

4. VAID: An Aerial Image Dataset for Vehicle Detection and Classification

5. Multi-kernel support correlation filters with temporal filtering constraint for object tracking

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