NDLI: Airborne vehicle detection using SURF-descriptors and Support Vector Machines

Content Provider	IEEE Xplore Digital Library
Author	Kozempel, K. Hausburg, M. Reulke, R.
Copyright Year	2011
Description	Author affiliation: German Aerospace Center (Kozempel, K.; Hausburg, M.; Reulke, R.)
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.
Starting Page	73
Ending Page	78
File Size	458395
Page Count	6
File Format	PDF
ISBN	9781457709906
e-ISBN	9781457709920
e-ISBN	9781457709913
DOI	10.1109/FISTS.2011.5973598
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-06-29
Publisher Place	Austria
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Algorithm design and analysis Image edge detection Vehicle detection Feature extraction Classification algorithms Vehicles
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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