Proceedings of the 2014 International Conference on Computer, Communications and Information Technology

Density Estimation of Unidirectional Crowds

Authors
Liang Zhang, Tao Deng, Yaling Song, Yi Fan
Corresponding Author
Liang Zhang
Available Online January 2014.
DOI
https://doi.org/10.2991/ccit-14.2014.62How to use a DOI?
Keywords
estimation of crowd density, unidirectional crowd, statistical regression, pixel-based method
Abstract
An improved pixel-based method is proposed in this paper aiming at density estimation for unidirectional crowds. It is a common situation that the crowd gathered facing towards the same orientation where hazardous events may be prone to occur due to high density, such as crowds gathered in front of a rostrum, crowds waiting at an entrance, flowing crowds in a passageway, etc. In these situations, the crowd density has a linear relationship with both the proportion of facial region to the foreground and the proportion of inner edges to the foreground edges. Based on above observations, we get a model and solve its parameters by multivariate statistical regression. The experiment shows the proposed method improves the accuracy of the commonly used pixel-based method especially for high-density crowds.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2014 International Conference on Computer, Communications and Information Technology (CCIT 2014)
Part of series
Advances in Intelligent Systems Research
Publication Date
January 2014
ISBN
978-90786-77-97-0
ISSN
1951-6851
DOI
https://doi.org/10.2991/ccit-14.2014.62How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Liang Zhang
AU  - Tao Deng
AU  - Yaling Song
AU  - Yi Fan
PY  - 2014/01
DA  - 2014/01
TI  - Density Estimation of Unidirectional Crowds
BT  - 2014 International Conference on Computer, Communications and Information Technology (CCIT 2014)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/ccit-14.2014.62
DO  - https://doi.org/10.2991/ccit-14.2014.62
ID  - Zhang2014/01
ER  -