This paper presents a FPGA-based design that aims at apply in real-time vision processes, specially Optical flow estimation processes. The objective of this work is to provide critical information for autonomous flights in a micro air robot. As motion field is one of the crucial information for the safety of robot. Based on these motion information, obstacles avoidance, for example, could be added to increase the autonomous degree of the robot. The structure of this paper is as follows. In section 2, the Lucas and Kanade optical flow algorithm is presented and few considerations on its implementation are proposed. The next sections (3 and 4) introduce the data flow design and proposes the hardware implementation of the process. Finally, experimental results on realistic image sequence obtained by an implementation on the authors' smart camera (SeeMos) is given in section 5.


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    Title :

    Hardware implementation of a real time Lucas and Kanade optical flow


    Additional title:

    Hardware-Implementierung für den Lucas- und Kanade-Algorithmus zur Echtzeitverarbeitung der optischen Bildfolge


    Contributors:
    Roudel, N. (author) / Berry, F. (author) / Serot, J. (author) / Eck, L. (author)


    Publication date :

    2009


    Size :

    5 Seiten, 4 Bilder, 3 Tabellen, 15 Quellen


    Remarks:

    (nicht paginiert)


    Type of media :

    Conference paper


    Type of material :

    Storage medium


    Language :

    English




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