Three-Frame Algorithm of Car Path Reconstruction from Airborne Traffic Data

Ihor Lubashevsky (), Namik Gusein-zade, Dmitry Klochkov and Sergey Zuev
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Ihor Lubashevsky: A.M. Prokhorov General Physics Institute, Russian Academy of Sciences
Namik Gusein-zade: A.M. Prokhorov General Physics Institute, Russian Academy of Sciences
Dmitry Klochkov: A.M. Prokhorov General Physics Institute, Russian Academy of Sciences
Sergey Zuev: German Aerospace Center, Optimal Information Systems

A chapter in Traffic and Granular Flow ’07, 2009, pp 373-379 from Springer

Abstract: Summary The airborne traffic monitoring system forms a novel technology of detecting vehicle motion. An optical digital camera located on an airborne platform produces a series of images which then are processed to recognized the fixed vehicles. In this way the video data are converted into the time sequence of frames containing the vehicle coordinates. In the present work a three-frame algorithm is developed to identify the succeeding vehicle positions. It is based on finding the neighboring points in the frame sequence characterized by minimal acceleration. To verify and optimize the developed algorithm a “Virtual Road” simulator was created. Finally available empirical data are analyzed using the created algorithm.

Date: 2009
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-540-77074-9_39

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DOI: 10.1007/978-3-540-77074-9_39

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