Density Estimation of Unidirectional Crowds
Liang Zhang, Tao Deng, Yaling Song, Yi Fan · 2014
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.