Automatic Vehicle Trajectory Extraction For Traffic Analysis From Aerial Video Data

Apeltauer, Jiří; Herman, David; Babinec, Adam; Apeltauer, Tomáš

Automatic Vehicle Trajectory Extraction For Traffic Analysis From Aerial Video Data

Files

isprsarchivesXL3W292015.pdf(4.24 MB)

Date

2015-03-25

Authors

Publisher

International Society of Photogrammetry and Remote Sensing

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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 areas. 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.
Článek představuje nový přístup k detekování vozidel a sledování jejich trajektorie při pohybu v křižovatce pomocí snímků pořízených bezpilotním letounem. Prostorové a časové využití křižovatky je klíčové pro budoucí přístupy v návrhu křižovatek.

Keywords

traffic monitoring, vehicle detection, vehicle tracking, aerial imagery, UAV, particle filter, monitoring provozu, detekce vozidel, sledování vozidel, letecké snímky, UAV, částicový filtr

Citation

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 2015, vol. W2, issue XL-3, p. 9-15.
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-3-W2/9/2015/isprsarchives-XL-3-W2-9-2015.html

Document type

Peer-reviewed

Document version

Published version

Language of document

en