Density Estimation of Unidirectional Crowds
Liang Zhang, Tao Deng, Yaling Song, Yi Fan
Available Online January 2014.
- https://doi.org/10.2991/ccit-14.2014.62How to use a DOI?
- estimation of crowd density, unidirectional crowd, statistical regression, pixel-based method
- 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.
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 -