Thesis Details
Odhad hustoty davu osob z fotografie
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.
image processing, convolutional neural networks, crowd density, OpenCV, Keras, crowd counting, computer vision, Leaflet, OpenStreetMap, Flask, GUI
Bařina David, Ing., Ph.D. (DCGM FIT BUT), člen
Burget Radek, doc. Ing., Ph.D. (DIFS FIT BUT), člen
Holík Lukáš, doc. Mgr., Ph.D. (DITS FIT BUT), člen
Jaroš Jiří, doc. Ing., Ph.D. (DCSY FIT BUT), člen
@bachelorsthesis{FITBT23083,
author = "Adam Ferencz",
type = "Bachelor's thesis",
title = "Odhad hustoty davu osob z fotografie",
school = "Brno University of Technology, Faculty of Information Technology",
year = 2020,
location = "Brno, CZ",
language = "czech",
url = "https://www.fit.vut.cz/study/thesis/23083/"
}