Publication detail

Object Tracking in Monochromatic Video Sequences Using Particle Filter

HERMAN, D. ORSÁG, F. DRAHANSKÝ, M.

Original Title

Object Tracking in Monochromatic Video Sequences Using Particle Filter

Type

conference paper

Language

English

Original 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.   

Keywords

visual object tracking, particle filter, monochromatic video sequences

Authors

HERMAN, D.; ORSÁG, F.; DRAHANSKÝ, M.

RIV year

2012

Released

1. 5. 2012

Publisher

Karel Englis College Inc.

Location

Brno

ISBN

978-80-86710-57-0

Book

7th Scientific International Conference - Enviromental Protection of Population

Pages from

120

Pages to

128

Pages count

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"
}