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  • Novel Aggregated Solutions for Robust Visual Tracking in Traffic Scenarios

    Wei Tian

    Band 044 von Schriftenreihe / Institut für Mess- und Regelungstechnik, Karlsruher Institut für Technologie
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    This work proposes novel approaches for object tracking in challenging scenarios like severe occlusion, deteriorated vision and long range multi-object reidentification. All these solutions are only based on image sequence captured by a monocular camera and do not require additional sensors. Experiments on standard benchmarks demonstrate an improved state-of-the-art performance of these approaches. Since all the presented approaches are smartly designed, they can run at a real-time speed.

    Umfang: XII, 146 S.

    Preis: €40.00 | £37.00 | $70.00

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    Empfohlene Zitierweise
    Tian, W. 2019. Novel Aggregated Solutions for Robust Visual Tracking in Traffic Scenarios. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000091919
    Tian, W., 2019. Novel Aggregated Solutions for Robust Visual Tracking in Traffic Scenarios. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000091919
    Tian, W. Novel Aggregated Solutions for Robust Visual Tracking in Traffic Scenarios. KIT Scientific Publishing, 2019. DOI: https://doi.org/10.5445/KSP/1000091919
    Tian, W. (2019). Novel Aggregated Solutions for Robust Visual Tracking in Traffic Scenarios. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000091919
    Tian, Wei. 2019. Novel Aggregated Solutions for Robust Visual Tracking in Traffic Scenarios. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000091919




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    Weitere Informationen

    Veröffentlicht am 21. Mai 2019

    Sprache

    Englisch

    Seitenanzahl:

    180

    ISBN
    Paperback 978-3-7315-0915-8

    DOI
    https://doi.org/10.5445/KSP/1000091919