Thesis Details
Monitorování dopravy z leteckých videí
This thesis proposes a system for extraction of vehicle trajectories from aerial video data for traffic analysis. The system is designed to analyse video sequence of a single traffic scene captured by an action camera mounted on an arbitrary UAV flying at the altitudes of approximately 150 m. Each video frame is geo-registered using visual correspondence of extracted ORB features. For the detection of vehicles, MB-LBP classifier cascade is deployed, with additional step of pre-filtering of detection candidates based on movement and scene context. Multi-object tracking is achieved by Bayesian bootstrap filter with an aid of the detection algorithm. The performance of the system was evaluated on three extensively annotated datasets. The results show that on the average, 92% of all extracted trajectories are corresponding to the reality. The system is already being used in the research to aid the process of design and analysis of road infrastructures.
object detection, multiple object tracking, Local Binary Pattern, aerial video, particle filter, unmanned aerial vehicle, traffic analysis
Bartík Vladimír, Ing., Ph.D. (DIFS FIT BUT), člen
Martínek Tomáš, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Meduna Alexander, prof. RNDr., CSc. (DIFS FIT BUT), člen
Steingartner William, Ing., Ph.D. (TUKE), člen
Zbořil František, doc. Ing., Ph.D. (DITS FIT BUT), člen
@mastersthesis{FITMT17724,
author = "Adam Babinec",
type = "Master's thesis",
title = "Monitorov\'{a}n\'{i} dopravy z leteck\'{y}ch vide\'{i}",
school = "Brno University of Technology, Faculty of Information Technology",
year = 2015,
location = "Brno, CZ",
language = "czech",
url = "https://www.fit.vut.cz/study/thesis/17724/"
}