elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

Airborne Vehicle Detection Using SURF-Descriptors and Support Vector Machines

Kozempel, Karsten and Hausburg, Matthias and Reulke, Ralf (2011) Airborne Vehicle Detection Using SURF-Descriptors and Support Vector Machines. ISBN 978-1-4577-0991-3.

[img] PDF - Registered users only
416kB

Abstract

Caused by the rising interest on traffic surveillance for simulations and decision management many publications focus on automatic vehicle detection systems. Vehicle counts and velocities of different car classes are the essential data basis for almost every traffic model. Especially during mass events or catastrophes conventional detection systems do not meet the demands. Thus a more flexible detector has to be used like an airborne camera system. In this paper a combination of a fast edge-based hypothesis generation and a more reliable hypothesis verification using a Support Vector Machine is presented. Due to image sizes of more than 20 megapixels at first the region of interest has to be preselected using a street database. Afterwards the first detection stage of the algorithm generates object hypotheses using especially shaped edge filters. The second detection stage verifies them by extracting the SURF-descriptor of each hypothesis. A Support Vector Machine is used to decide whether the object's descriptor represents a vehicle. It will be shown how the verification stage improves the detection reliability by discarding false positives while preselection and hypothesis generation provides less computation time.

Item URL in elib:https://elib.dlr.de/73362/
Document Type:Proceedings
Title:Airborne Vehicle Detection Using SURF-Descriptors and Support Vector Machines
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Kozempel, Karstenkarsten.kozempel (at) dlr.deUNSPECIFIED
Hausburg, Matthiasmaziator (at) cs.tu-berlin.deUNSPECIFIED
Reulke, Ralfralf.reulke (at) dlr.deUNSPECIFIED
Date:July 2011
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Number of Pages:6
ISBN:978-1-4577-0991-3
Status:Published
Keywords:vehicle detection, support vector machine
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Traffic Management (old)
DLR - Research area:Transport
DLR - Program:V VM - Verkehrsmanagement
DLR - Research theme (Project):V - ARGOS (old)
Location: Berlin-Adlershof
Institutes and Institutions:Institute of Transportation Systems > Traffic Management
Deposited By: Kozempel, Karsten
Deposited On:11 Jan 2012 09:39
Last Modified:12 Dec 2013 21:31

Repository Staff Only: item control page

Browse
Search
Help & Contact
Information
electronic library is running on EPrints 3.3.12
Copyright © 2008-2017 German Aerospace Center (DLR). All rights reserved.