Publication detail

Fully Automatic Horizon Estimation for Surveillance Cameras

BARTL, V. HEROUT, A.

Original Title

Fully Automatic Horizon Estimation for Surveillance Cameras

English Title

Fully Automatic Horizon Estimation for Surveillance Cameras

Type

conference paper

Language

en

Original Abstract

This paper deals with automatic estimation of the horizon in videos from fixed surveillance cameras. The proposed algorithm is fully automatic in the sense that no user input is needed per-camera and it works with various scenes (indoor, outdoor, traffic, pedestrian, livestock, etc.). The algorithm detects moving objects, tracks them in time, assesses some of their geometric properties related to the object dimensions and infers observations related to the position of the horizon. We collected a dataset of 47 public camera streams observing suitable scenes of various nature. We annotated ground truth horizons based on geometric properties in the images and by direct human input. We evaluate the proposed algorithm and compare it to human guesses - it turns out that the algorithm is on par with humans or it outperforms them in the difficult scenes.

English abstract

This paper deals with automatic estimation of the horizon in videos from fixed surveillance cameras. The proposed algorithm is fully automatic in the sense that no user input is needed per-camera and it works with various scenes (indoor, outdoor, traffic, pedestrian, livestock, etc.). The algorithm detects moving objects, tracks them in time, assesses some of their geometric properties related to the object dimensions and infers observations related to the position of the horizon. We collected a dataset of 47 public camera streams observing suitable scenes of various nature. We annotated ground truth horizons based on geometric properties in the images and by direct human input. We evaluate the proposed algorithm and compare it to human guesses - it turns out that the algorithm is on par with humans or it outperforms them in the difficult scenes.

Keywords

horizon estimation, video surveillance, camera calibration, object tracking, trajectories, vanishing points

Released

02.12.2017

Publisher

Institute of Electrical and Electronics Engineers

Location

Sydney

ISBN

978-1-5386-2839-3

Book

2017 International Conference on Digital Image Computing: Techniques and Applications (DICTA)

Edition

NEUVEDEN

Edition number

NEUVEDEN

Pages from

23

Pages to

30

Pages count

8

URL

Documents

BibTex


@inproceedings{BUT144420,
  author="Vojtěch {Bartl} and Adam {Herout}",
  title="Fully Automatic Horizon Estimation for Surveillance Cameras",
  annote="This paper deals with automatic estimation of the horizon in videos from fixed
surveillance cameras. The proposed algorithm is fully automatic in the sense that
no user input is needed per-camera and it works with various scenes (indoor,
outdoor, traffic, pedestrian, livestock, etc.). The algorithm detects moving
objects, tracks them in time, assesses some of their geometric properties related
to the object dimensions and infers observations related to the position of the
horizon. We collected a dataset of 47 public camera streams observing suitable
scenes of various nature. We annotated ground truth horizons based on geometric
properties in the images and by direct human input. We evaluate the proposed
algorithm and compare it to human guesses - it turns out that the algorithm is on
par with humans or it outperforms them in the difficult scenes.",
  address="Institute of Electrical and Electronics Engineers",
  booktitle="2017 International Conference on Digital Image Computing: Techniques and Applications (DICTA)",
  chapter="144420",
  doi="10.1109/DICTA.2017.8227437",
  edition="NEUVEDEN",
  howpublished="online",
  institution="Institute of Electrical and Electronics Engineers",
  year="2017",
  month="december",
  pages="23--30",
  publisher="Institute of Electrical and Electronics Engineers",
  type="conference paper"
}