Publication detail

Automatic vehicle trajectory extraction for traffic analysis from aerial video data

APELTAUER, J. BABINEC, A. APELTAUER, T. HERMAN, D.

Original Title

Automatic vehicle trajectory extraction for traffic analysis from aerial video data

Type

conference paper

Language

English

Original Abstract

This paper presents a new approach to simultaneous detection and tracking of vehicles moving through an intersection in aerial images acquired by an unmanned aerial vehicle (UAV). Detailed analysis of spatial and temporal utilization of an intersection is an important step for its design evaluation and further traffic inspection. Traffic flow at intersections is typically very dynamic and requires continuous and accurate monitoring systems. Conventional traffic surveillance relies on a set of fixed cameras or other detectors, requiring a high density of the said devices in order to monitor the intersection in its entirety and to provide data in sufficient quality. Alternatively, a UAV can be converted to a very agile and responsive mobile sensing platform for data collection from such large scenes. However, manual vehicle annotation in aerial images would involve tremendous effort. In this paper, the proposed combination of vehicle detection and tracking aims to tackle the problem of automatic traffic analysis at an intersection from visual data. The presented method has been evaluated in several real-life scenarios.

Keywords

traffic monitoring, vehicle detection, vehicle tracking, aerial imagery, UAV, particle filter

Authors

APELTAUER, J.; BABINEC, A.; APELTAUER, T.; HERMAN, D.

Released

10. 5. 2015

Location

Munich

Pages from

9

Pages to

15

Pages count

7

URL

http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-3-W2/9/2015/isprsarchives-XL-3-W2-9-2015.html

BibTex

@inproceedings{BUT133491,
  author="Jiří {Apeltauer} and Adam {Babinec} and Tomáš {Apeltauer} and David {Herman}",
  title="Automatic vehicle trajectory extraction for traffic analysis from aerial video data",
  booktitle="The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences",
  year="2015",
  series="Volume XL-3/W2",
  pages="9--15",
  address="Munich",
  doi="10.5194/isprsarchives-XL-3-W2-9-2015",
  url="http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-3-W2/9/2015/isprsarchives-XL-3-W2-9-2015.html"
}