A Comprehensive Review of Vehicle Detection Techniques Under Varying Moving Cast Shadow Conditions Using Computer Vision and Deep Learning-Reference-Cited by-同舟云学术

A Comprehensive Review of Vehicle Detection Techniques Under Varying Moving Cast Shadow Conditions Using Computer Vision and Deep Learning

Published:2022 Issue: Volume:10 Page:104863-104886
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Umair Arif Muhammad¹^ORCID,Farooq Muhammad Umar¹^ORCID,Raza Rana Hammad¹^ORCID,Lodhi Zain Ul Abideen²,Hashmi Muhammad Abdur Rehman³^ORCID

Affiliation:

1. Department of Electronics and Power Engineering, Pakistan Navy Engineering College (PNEC), National University of Sciences and Technology (NUST), Karachi, Pakistan

2. Harbin Institute of Technology (HIT), Harbin, China

3. Department of Electronic and Electrical Engineering, University College London, London, U.K.

Funder

National Center of Big Data and Cloud Computing

Higher Education Commission (HEC) of Pakistan

National University of Sciences 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/ielx7/6287639/9668973/09899427.pdf?arnumber=9899427

Reference91 articles.

1. Moving cast shadow detection using block nonnegative matrix factorization;yang;Bull Polish Acad Sci Tech Sci,2018

2. An Adaptive Neural-Fuzzy Approach for Object Detection in Dynamic Backgrounds for Surveillance Systems

3. Moving Cast Shadow Detection of Vehicle Using Combined Color Models

4. Physical models for moving shadow and object detection in video

5. Detection of moving cast shadows for object segmentation

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