Thesis Details
Sledování pohybu návštěvníků muzejních expozic
The aim of this work is to propose a new system of monitoring visitors in museums. Incontrast to existing methods, the problem is solved here only using camera technology. This requires addressing three sub-problems: (1.) detection of visitors in camera streams using a convolutional neural network; (2.) camera configuration to exactly determine the position of the detected persons within the monitoring area; and (3.) identification and tracking the detected persons. The outcome of the proposed solution is the heatmap of most visited places, the map of visitor trajectories and the statistic of visits for individual exhibits. This monitoring method can contribute towards improved evaluation of visitor experience and more effective selection and positioning of the exhibits.
person identification, person tracking, heatmap, museum monitoring
Burget Lukáš, doc. Ing., Ph.D. (DCGM FIT BUT), člen
Holík Lukáš, doc. Mgr., Ph.D. (DITS FIT BUT), člen
Martínek Tomáš, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Matoušek Petr, doc. Ing., Ph.D., M.A. (DIFS FIT BUT), člen
@bachelorsthesis{FITBT25041,
author = "Matej Viskupi\v{c}",
type = "Bachelor's thesis",
title = "Sledov\'{a}n\'{i} pohybu n\'{a}v\v{s}t\v{e}vn\'{i}k\r{u} muzejn\'{i}ch expozic",
school = "Brno University of Technology, Faculty of Information Technology",
year = 2022,
location = "Brno, CZ",
language = "slovak",
url = "https://www.fit.vut.cz/study/thesis/25041/"
}