Detail publikace

Object Tracking in Monochromatic Video Sequences Using Particle Filter

HERMAN, D. ORSÁG, F. DRAHANSKÝ, M.

Originální název

Object Tracking in Monochromatic Video Sequences Using Particle Filter

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

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.   

Klíčová slova

visual object tracking, particle filter, monochromatic video sequences

Autoři

HERMAN, D.; ORSÁG, F.; DRAHANSKÝ, M.

Rok RIV

2012

Vydáno

1. 5. 2012

Nakladatel

Karel Englis College Inc.

Místo

Brno

ISBN

978-80-86710-57-0

Kniha

7th Scientific International Conference - Enviromental Protection of Population

Strany od

120

Strany do

128

Strany počet

8

BibTex

@inproceedings{BUT96943,
  author="David {Herman} and Filip {Orság} and Martin {Drahanský}",
  title="Object Tracking in Monochromatic Video Sequences Using Particle Filter",
  booktitle="7th Scientific International Conference - Enviromental Protection of Population",
  year="2012",
  pages="120--128",
  publisher="Karel Englis College Inc.",
  address="Brno",
  isbn="978-80-86710-57-0"
}