Application of the Binocular Camera to Crowd Density Estimation
Xin Biao Lu · Computer and Digital Engineering · 2012
In this paper,a new method is proposed to estimate crowd density based on binocular vision: First,according to the average parallax of the object in the two camera plane,the correction parameters of monitoring location are calculate,then the correction function is fittied based on the result of the correction parameters of the same target objects in different locations.Take foreground pixels,foreground edge pixels of image as feature characteristics of crowd density estimation,application of correction parameters to correct.Experiments show that compared to existing methods,this method can greatly improve the effectiveness of the characteristics,thereby enhancing the accuracy of the estimation of crowd density.