Publication detail

Change Detection in Presence of Registration Error Using LTP Histograms

DORAZIL, J. ŘÍHA, K. DUTTA, M. SINGH, A.

Original Title

Change Detection in Presence of Registration Error Using LTP Histograms

English Title

Change Detection in Presence of Registration Error Using LTP Histograms

Type

conference paper

Language

en

Original Abstract

This paper deals with detection of significant changes between two images of the same indoor scene acquired from different positions. The nonstatic camera position leads to the need of a registration technique which may be inaccurate. Moreover in case of non-planar scenes accurate registration is not possible. To deal with such inaccuracy a method based on Local Ternary Patterns (LTP) is proposed. Tests performed on real data show that the proposed method is able to detect the changed region in the scene while neglecting the registration error.

English abstract

This paper deals with detection of significant changes between two images of the same indoor scene acquired from different positions. The nonstatic camera position leads to the need of a registration technique which may be inaccurate. Moreover in case of non-planar scenes accurate registration is not possible. To deal with such inaccuracy a method based on Local Ternary Patterns (LTP) is proposed. Tests performed on real data show that the proposed method is able to detect the changed region in the scene while neglecting the registration error.

Keywords

change detection; registration error; indoor; LTP histogram

Released

04.07.2018

Publisher

Faculty of Electrical Engineering and Communacation, Brno University of Technology

Location

Technická 3058/10, 616 00 Brno, Czech Republic

ISBN

978-1-5386-4695-3

Book

Proceedings of the 2018 41st International Conference on Telecommunications and Signal Processing

Pages from

380

Pages to

383

Pages count

4

URL

BibTex


@inproceedings{BUT148912,
  author="Jan {Dorazil} and Kamil {Říha} and Malay Kishore {Dutta} and Anushikha {Singh}",
  title="Change Detection in Presence of Registration Error Using LTP Histograms",
  annote="This paper deals with detection of significant changes between two images of the same indoor scene acquired from different positions. The nonstatic camera position leads to the need of a registration technique which may be inaccurate. Moreover in case of non-planar scenes accurate registration is not possible. To deal with such inaccuracy a method based on Local Ternary Patterns (LTP) is proposed. Tests performed on real data show that the proposed method is able to detect the changed region in the scene while neglecting the registration error.",
  address="Faculty of Electrical Engineering and Communacation, Brno University of Technology",
  booktitle="Proceedings of the 2018 41st International Conference on Telecommunications and Signal Processing",
  chapter="148912",
  howpublished="online",
  institution="Faculty of Electrical Engineering and Communacation, Brno University of Technology",
  year="2018",
  month="july",
  pages="380--383",
  publisher="Faculty of Electrical Engineering and Communacation, Brno University of Technology",
  type="conference paper"
}