Intelligent vehicle systems need to distinguish which objects are moving and which are static. A static concrete wall lying in the path of a vehicle should be treated differently than a truck moving in front of the vehicle. This paper proposes a new algorithm that addresses this problem, by providing dense dynamic depth information, while coping with real-time constraints. The algorithm models disparity and disparity rate pixel-wise for an entire image. This model is integrated over time and tracked by means of many pixel-wise Kalman filters. This provides better depth estimation results over time, and also provides speed information at each pixel without using optical flow. This simple approach leads to good experimental results for real stereo sequences, by showing an improvement over previous methods.


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    Titel :

    Integrating disparity images by incorporating disparity rate


    Weitere Titelangaben:

    Integration der Disparity-Images durch Einbeziehung der Disparitätsrate


    Beteiligte:
    Vaudrey, Tobi (Autor:in) / Badino, Hernan (Autor:in) / Gehrig, Stefan (Autor:in)


    Erscheinungsdatum :

    2008


    Format / Umfang :

    14 Seiten, 11 Quellen





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




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