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Trajectory-Based Scene Description And Classification

Pfeiffer, David and Reulke, Ralf (2009) Trajectory-Based Scene Description And Classification. Object Extraction for 3D City Models, Road Databases and Traffic Monitoring, 3.-5. Sep. 2009, Frankreich. ISSN 1682-1750

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Official URL: http://www.cmrt09.bv.tum.de/pub/CMRT09_Pfeiffer_Reulke.pdf


Video image detection systems (VIDS) provide an opportunity to analyse complex traffic scenes that are captured by stationary video cameras. Our work concentrates on the derivation of traffic relevant parameters from vehicle trajectories. This paper examines different procedures for the description of vehicle trajectories using analytical functions. Derived conical sections (circles, ellipses and hyperboles) as well as straight lines are particularly suitable for this task. Thus, it is possible to describe a suitable trajectory by a maximum of five parameters. A classification algorithm uses these parameters and takes decisions on the turning behaviour of vehicles. A model based approach is following. The a-priori knowledge about the scene (here prejudged and verified vehicle trajectories) is the only required input into this system. One confines himself here to straight lines, circles, ellipses and hyperboles. Other common functions (such as clothoids) are discussed and the choice of the function is being justified.

Item URL in elib:https://elib.dlr.de/62452/
Document Type:Conference or Workshop Item (Paper)
Title:Trajectory-Based Scene Description And Classification
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Pfeiffer, DavidDaimler AGUNSPECIFIED
Reulke, RalfHU-BerlinUNSPECIFIED
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Page Range:pp. 41-46
Stilla, U.TU-München
Rottensteiner, F.Uni-Hannover
Paparoditis , N.IGN
Series Name:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Science
Keywords:Object recognition, Scene Analysis, statistical and deterministic trajectory models
Event Title:Object Extraction for 3D City Models, Road Databases and Traffic Monitoring
Event Location:Frankreich
Event Type:international Conference
Event Dates:3.-5. Sep. 2009
Organizer:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Science
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Transport
HGF - Program Themes:Traffic Management (old)
DLR - Research area:Transport
DLR - Program:V VM - Verkehrsmanagement
DLR - Research theme (Project):V - Methodenentwicklung (old)
Location: Berlin-Adlershof
Institutes and Institutions:Institute of Transportation Systems > Institute of Transportation Systems > Traffic Management
Deposited By: Reulke, Prof. Dr. Ralf
Deposited On:13 Jan 2010 10:44
Last Modified:13 Jan 2010 10:44

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