Crowd Density Estimation Using Hough Circle Transform for Video Surveillance

In this paper, a crowd density estimation method has been proposed, using Hough circle transformation. In this method background and foreground information is segregated using ViBe technique and followed by segmentation of foreground information. These segmented foreground information are used in Hough circle transformation for crowd density estimation. The performance of proposed method is evaluated in terms of various parameters like mean square error, average standard deviation and elapsed time over a number of video sequences. Experimental results shows that the proposed method is better than parallel crowd density estimation technique in literature.

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