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National Repository of Grey Literature 2 records found  Search took 0.00 seconds. 
Crowd Density Estimation from a Photo
 Ferencz, Adam ; Herout, Adam (referee) ; Beran, Vítězslav (advisor)
The aim of this thesis is to develop an aplication estimating the  total number of people at a demonstration or at  other public events. Input is a serie of photos from a drone or some other photos. The output are couloured maps according to people density in the place. Photos are placed in a topological map. Convolutional neural network MCNN is used for the crowd counting, which can generate a density map from the photo. Special method was proposed to correct the total amount of counted people when photographs overlap. The application is  divided into server and web client. The server part generates density maps, saves data and runs an overlap correction algorithm. Client handles user inputs and provides an interactiv map with visualization.
Detailed record
Crowd Density Estimation from a Photo
 Ferencz, Adam ; Herout, Adam (referee) ; Beran, Vítězslav (advisor)
The aim of this thesis is to develop an aplication estimating the  total number of people at a demonstration or at  other public events. Input is a serie of photos from a drone or some other photos. The output are couloured maps according to people density in the place. Photos are placed in a topological map. Convolutional neural network MCNN is used for the crowd counting, which can generate a density map from the photo. Special method was proposed to correct the total amount of counted people when photographs overlap. The application is  divided into server and web client. The server part generates density maps, saves data and runs an overlap correction algorithm. Client handles user inputs and provides an interactiv map with visualization.
Detailed record

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