Publication:
Automatic vehicle counting from video for traffic flow analysis

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dc.conference.dateJUN 13-15, 2007
dc.conference.locationIstanbul, TURKEY
dc.conference.organizerInstitute of Electrical and Electronics Engineers
dc.contributor.departmentDepartment of Electrical and Electronics Engineering
dc.contributor.departmentDepartment of Industrial Engineering
dc.contributor.facultymemberYes
dc.contributor.kuauthorBaş, Erhan
dc.contributor.kuauthorSalman, Fatma Sibel
dc.contributor.kuauthorTekalp, Ahmet Murat
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.date.accessioned2024-11-09T23:58:06Z
dc.date.issued2007
dc.description.abstractWe propose a new video analysis method for counting vehicles, where we use an adaptive bounding box size to detect and track vehicles according to their estimated distance from the camera given the scene-camera geometry. We employ adaptive background subtraction and Kalman filtering for road/vehicle detection and tracking, respectively. Effectiveness of the proposed method for vehicle counting is demonstrated on several video recordings taken at different time periods in a day at one location in the city of Istanbul.
dc.description.fulltextNo
dc.description.harvestedfromManual
dc.description.indexedbyWOS
dc.description.indexedbyScopus
dc.description.openaccessNO
dc.description.peerreviewstatusN/A
dc.description.publisherscopeInternational
dc.description.readpublishN/A
dc.description.sponsoredbyTubitakEuN/A
dc.description.studentonlypublicationNo
dc.description.studentpublicationYes
dc.description.versionN/A
dc.identifier.WoSQuartileN/A
dc.identifier.embargoN/A
dc.identifier.isbn9781424410675
dc.identifier.scopus2-s2.0-47849122980
dc.identifier.urihttps://hdl.handle.net/20.500.14288/15401
dc.identifier.wos000252173600181
dc.keywordsTracking
dc.keywordsVideo analysis
dc.keywordsBackground subtraction
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers
dc.relation.affiliationKoç University
dc.relation.collectionKoç University Institutional Repository
dc.relation.ispartof2007 IEEE Intelligent Vehicles Symposium, Vols 1-3
dc.relation.openaccessN/A
dc.rightsN/A
dc.subjectComputer science, artificial intelligence
dc.subjectComputer science, theory and methods
dc.subjectEngineering, electrical and electronic
dc.subjectEngineering, mechanical
dc.titleAutomatic vehicle counting from video for traffic flow analysis
dc.typeConference Proceeding
dspace.entity.typePublication
local.contributor.kuauthorBaş, Erhan
local.contributor.kuauthorTekalp, Ahmet Murat
local.contributor.kuauthorSalman, Fatma Sibel
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relation.isOrgUnitOfPublication.latestForDiscovery21598063-a7c5-420d-91ba-0cc9b2db0ea0
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