Automatic Vehicle Trajectory Extraction For Traffic Analysis From Aerial Video Data

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Automatic Vehicle Trajectory Extraction For Traffic Analysis From Aerial Video Data

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Automatic Vehicle Trajectory Extraction For Traffic Analysis From Aerial Video Data

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20206 - Computer hardware and architecture

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2015

Kód důvěrnosti údajů

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

Název statě ve sborníku

ISPRS Archives

ISBN

—

ISSN

2194-9034

e-ISSN

—

Počet stran výsledku

6

Strana od-do

9-15

Název nakladatele

International Society of Photogrammetry and Remote Sensing

Místo vydání

Mnichov

Místo konání akce

Mnichov

Datum konání akce

25. 3. 2015

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

000352725200002