Publication Details
Object Tracking in Monochromatic Video Sequences Using Particle Filter
Orság Filip, Ing., Ph.D. (DITS FIT BUT)
Drahanský Martin, prof. Ing., Dipl.-Ing., Ph.D. (DITS FIT BUT)
visual object tracking, particle filter, monochromatic video sequences
In recent years, a significant amount of attention has been given to the development of efficient and robust visual tracking algorithms. In order to deal with this problematic issue, color based particle filters are often used because of their simplicity, flexibility, and ability to deal with non-linearity and non-Gaussianity of such systems. However, the conventional particle filter methods may perform poorly when the color information is not available. In this paper, the proposed combination of a background model, motion model, and object model aims to tackle the problem of tracking objects in monochromatic video sequences. Several experiments have been conducted to verify the presented approach.
@INPROCEEDINGS{FITPUB9954,
author = "David Herman and Filip Ors\'{a}g and Martin Drahansk\'{y}",
title = "Object Tracking in Monochromatic Video Sequences Using Particle Filter",
pages = "120--128",
booktitle = "7th Scientific International Conference - Enviromental Protection of Population",
year = 2012,
location = "Brno, CZ",
publisher = "Karel Englis College Inc.",
ISBN = "978-80-86710-57-0",
language = "english",
url = "https://www.fit.vut.cz/research/publication/9954"
}