Faculty of Information Technology, BUT

Publication Details

Object Tracking in Monochromatic Video Sequences Using Particle Filter

HERMAN David, ORSÁG Filip and DRAHANSKÝ Martin. Object Tracking in Monochromatic Video Sequences Using Particle Filter. In: 7th Scientific International Conference - Enviromental Protection of Population. Brno: Karel Englis College Inc., 2012, pp. 120-128. ISBN 978-80-86710-57-0.
Czech title
Sledování objektu v monochromatických videosekvencích pomocí částicového filtru
Type
conference paper
Language
english
Authors
Keywords
visual object tracking, particle filter, monochromatic video sequences
Abstract
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.   
Published
2012
Pages
120-128
Proceedings
7th Scientific International Conference - Enviromental Protection of Population
Conference
7th Scientific International Conference Crisis Management Environmental Protection of Population, Brno, CZ
ISBN
978-80-86710-57-0
Publisher
Karel Englis College Inc.
Place
Brno, CZ
BibTeX
@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"
}
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