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Efficient Face Detection Based Crowd Density Estimation using Convolutional Neural Networks and an Improved Sliding Window Strategy Cover

Efficient Face Detection Based Crowd Density Estimation using Convolutional Neural Networks and an Improved Sliding Window Strategy

Open Access
|Mar 2023

Authors

Rouhollah Kian Ara

rouhollah.kian.ara@ict.agh.edu.pl

Institute of Telecommunications, AGH University of Science and Technology al, Kraków, Poland

Andrzej Matiolanski

andrzej.matiolanski@agh.edu.pl

Institute of Telecommunications, AGH University of Science and Technology al, Kraków, Poland

Michał Grega

michal.grega@agh.edu.pl

Institute of Telecommunications, AGH University of Science and Technology al, Kraków, Poland

Andrzej Dziech

andrzej.dziech@agh.edu.pl

Institute of Telecommunications, AGH University of Science and Technology al, Kraków, Poland

Remigiusz Baran

r.baran@tu.kielce.pl

Department of Computer Science, Electronics and Electrical Engineering Kielce University of Technology ul, Kielce, Poland
DOI: https://doi.org/10.34768/amcs-2023-0001 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X
Language: English
Page range: 7 - 20
Submitted on: May 12, 2022
|
Accepted on: Nov 9, 2022
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Published on: Mar 29, 2023
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2023 Rouhollah Kian Ara, Andrzej Matiolanski, Michał Grega, Andrzej Dziech, Remigiusz Baran, published by University of Zielona Góra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.