Automatic Vehicle Trajectory Extraction For Traffic Analysis From Aerial Video Data

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F15%3APU112202" target="_blank" >RIV/00216305:26110/15:PU112202 - isvavai.cz</a>

Result on the web

<a href="http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-3-W2/9/2015/isprsarchives-XL-3-W2-9-2015.html" target="_blank" >http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-3-W2/9/2015/isprsarchives-XL-3-W2-9-2015.html</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.5194/isprsarchives-XL-3-W2-9-2015" target="_blank" >10.5194/isprsarchives-XL-3-W2-9-2015</a>

Result language

angličtina

Original language name

Automatic Vehicle Trajectory Extraction For Traffic Analysis From Aerial Video Data

Original language description

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.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

20206 - Computer hardware and architecture

Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2015

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

ISPRS Archives

ISBN

—

ISSN

2194-9034

e-ISSN

—

Number of pages

6

Pages from-to

9-15

Publisher name

International Society of Photogrammetry and Remote Sensing

Place of publication

Mnichov

Event location

Mnichov

Event date

Mar 25, 2015

Type of event by nationality

EUR - Evropská akce

UT code for WoS article

000352725200002