Thesis Details
Multimodální systém pro multi-object tracking v reálném čase
This thesis deals with the topic of multi-object multi-sensor tracking. A conventional track-oriented multiple hypothesis tracking (TOMHT) pipeline is implemented in C++ programming language and an implementable interface is designed, enabling to easily extend the core algorithm with arbitrary sensors and measured target attributes, making the system multimodal, i.e.\ applicable in heterogeneous systems of sensors. A novel algorithm for solving combinatorial optimization arising in TOMHT is proposed. Finally, few example implementations of the interface are provided and the system is evaluated in simulated and real-world scenarios.
object tracking, multiple-object tracking, multiple-hypothesis tracking, multiple-sensor tracking, heterogeneous systems of sensors, data fusion, data association, tracking in geo-registered space, extendable object tracking framework, computer vision, combinatorial optimization
Beran Vítězslav, doc. Ing., Ph.D. (DCGM FIT BUT), člen
Čadík Martin, doc. Ing., Ph.D. (DCGM FIT BUT), člen
Juránek Roman, Ing., Ph.D. (DCGM FIT BUT), člen
Křivka Zbyněk, Ing., Ph.D. (DIFS FIT BUT), člen
Milet Tomáš, Ing., Ph.D. (DCGM FIT BUT), člen
@mastersthesis{FITMT25071,
author = "Adam Ku\v{c}era",
type = "Master's thesis",
title = "Multimod\'{a}ln\'{i} syst\'{e}m pro multi-object tracking v re\'{a}ln\'{e}m \v{c}ase",
school = "Brno University of Technology, Faculty of Information Technology",
year = 2022,
location = "Brno, CZ",
language = "czech",
url = "https://www.fit.vut.cz/study/thesis/25071/"
}