Publication detail

Unsupervised Processing of Vehicle Appearance for Automatic Understanding in Traffic Surveillance

SOCHOR, J. HEROUT, A.

Original Title

Unsupervised Processing of Vehicle Appearance for Automatic Understanding in Traffic Surveillance

Type

conference paper

Language

English

Original Abstract


This paper deals with unsupervised collection of
information from traffic surveillance video streams. Deployment
of usable traffic surveillance systems requires minimizing of
efforts per installed camera - our goal is to enroll a new
view on the street without any human operator input. We
propose a method of automatically collecting vehicle samples
from surveillance cameras, analyze their appearance and fully
automatically collect a fine-grained dataset. This dataset can be
used in multiple ways, we are explicitly showcasing the following
ones: fine-grained recognition of vehicles and camera calibration
including the scale. The experiments show that based on the
automatically collected data, make&model vehicle recognition in
the wild can be done accurately: average precision 0.890. The
camera scale calibration (directly enabling automatic speed and
size measurement) is twice as precise as the previous existing
method. Our work leads to automatic collection of traffic statistics
without the costly need for manual calibration or make&model
annotation of vehicle samples. Unlike most previous approaches,
our method is not limited to a small range of viewpoints (such
as eye-level cameras shots), which is crucial for surveillance
applications.

Keywords

fine-grained recognition, speed measurement, traffic analysis, clustering, dataset construction

Authors

SOCHOR, J.; HEROUT, A.

RIV year

2015

Released

10. 9. 2015

Publisher

Australian Pattern Recognition Society

Location

Adelaide

ISBN

978-1-4673-6795-0

Book

Digital Image Computing: Techniques and Applications (DICTA), 2015 International Conference on

Pages from

1

Pages to

8

Pages count

8

BibTex

@inproceedings{BUT119896,
  author="Jakub {Sochor} and Adam {Herout}",
  title="Unsupervised Processing of Vehicle Appearance for Automatic Understanding in Traffic Surveillance",
  booktitle="Digital Image Computing: Techniques and Applications (DICTA), 2015 International Conference on",
  year="2015",
  pages="1--8",
  publisher="Australian Pattern Recognition Society",
  address="Adelaide",
  doi="10.1109/DICTA.2015.7371318",
  isbn="978-1-4673-6795-0"
}