Approaches on crowd counting and density estimation: a review-Reference-Cited by-同舟云学术

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Approaches on crowd counting and density estimation: a review

Published:2021-02-20 Issue:3 Volume:24 Page:853-874
ISSN:1433-7541
Container-title:Pattern Analysis and Applications
language:en
Short-container-title:Pattern Anal Applic

Author:

Li Bo,Huang Hongbo^ORCID,Zhang Ang,Liu Peiwen,Liu Cheng

Funder

Beijing municipal education committee scientific and technological planning project

Program for New Century Excellent Talents in University

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition

Link

https://link.springer.com/content/pdf/10.1007/s10044-021-00959-z.pdf

Reference159 articles.

1. Ryan D, Denman S, Fookes C et al (2009) Crowd counting using multiple local features. In: 2009 Digital image computing: techniques and applications. IEEE, pp 81–88

2. Subburaman VB, Descamps A, Carincotte C (2012) Counting people in the crowd using a generic head detector. In: 2012 IEEE ninth international conference on advanced video and signal-based surveillance

3. Hou Y, Pang G (2011) People counting and human detection in a challenging situation. IEEE Trans Syst Man Cybern Part A 41(1):24–33

4. Handte M, Iqbal MU, Wagner S et al (2014) Crowd density estimation for public transport vehicles. EDBT/ICDT Workshops

5. Hussain N, Yatim HSM, Hussain NL et al (2011) Cdes: a pixel-based crowd density estimation system for masjid al-haram. Saf Sci 49(6):824–833

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