An Improved Speed Estimation Using Deep Homography Transformation Regression Network on Monocular Videos-Reference-Cited by-同舟云学术

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An Improved Speed Estimation Using Deep Homography Transformation Regression Network on Monocular Videos

Published:2023 Issue: Volume:11 Page:5955-5965
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Yohannes Ervin¹^ORCID,Lin Chih-Yang²^ORCID,Shih Timothy K.¹^ORCID,Thaipisutikul Tipajin³^ORCID,Enkhbat Avirmed¹^ORCID,Utaminingrum Fitri⁴^ORCID

Affiliation:

1. Department of Computer Science and Information Engineering, National Central University, Taoyuan City, Taiwan

2. Department of Electrical Engineering, Yuan Ze University, Taoyuan City, Taiwan

3. Faculty of Information and Communication Technology, Mahidol University, Nakhon Patom, Thailand

4. Faculty of Computer Science, University of Brawijaya, Malang, Indonesia

Funder

Ministry of Science and Technology

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/ielx7/6287639/10005208/10015759.pdf?arnumber=10015759

Reference41 articles.

1. A Semi-Automatic 2D Solution for Vehicle Speed Estimation from Monocular Videos

2. Speed Estimation and Abnormality Detection from Surveillance Cameras

3. Challenges on Large Scale Surveillance Video Analysis

4. Vehicle Tracking and Speed Estimation from Traffic Videos

5. A Novel Motion Plane-Based Approach to Vehicle Speed Estimation

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. HVD-Net: A Hybrid Vehicle Detection Network for Vision-Based Vehicle Tracking and Speed Estimation;Journal of King Saud University - Computer and Information Sciences;2023-09

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