Crowd density estimation methods

#CCTV #surveillance #systems #motion #detection #binary #large #objects #analysis

This presentations shows the solutions for crowd density estimation. In terms of the methods used, the solutions can be divided into five categories: pixel-based approaches, texture analysis, appearance-based approaches, points-of-interest grouping, and 3D reconstruction. Most of the solutions estimate only the density of the whole crowd present in the studied scene. Implementations that examine also the distribution of people in the scene (i.e. the studied area) are considerably rare. In this case, it is not only necessary to estimate the density of the crowd, but also to determine how it varies in different areas of the studied scene.

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• Poznan University of Technology
• Poznan, Wielkopolskie
• Poland
• Building: Centre of Mechatronics, Biomechanics and Nanoengineering
• Room Number: 230

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