The marker tracking is an image analysis method and therefore requires the usage of a camera to record the experiments. To increase the time resolution of the measurements high speed cameras are required in the field of crash analysis. Typical cameras have frame rates from 1000 to more than 4500 full frame images per second. In this paper the authors present a new approach for a marker tracking technique based on pattern recognition. First tests with images of a body block experiment show that this technique can be used intuitivly without explicit pattern type definition and that it yields reliable results. The position determination is performed with subpixel accuracy. Because the method works on the base of patterns and not on predefined markers it can be used flexibly on any small image region consisting of a certain pattern. The usage of markers enables the tracking of regions with low contrast. Due to the search pattern adaption in every image the pattern can be tracked automatically even when the pattern varies during the sequence. Future experiments with other measurement techniques, e.g. acceleration sensors in sledge experiments, will give more detailed data for quantitative comparison.


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    Title :

    Robust marker tracking by the use of a pattern recognition method


    Additional title:

    Robuste Markierungsverfolgung mit Hilfe eines Mustererkennungsverfahrens


    Contributors:


    Publication date :


    Size :

    7 Seiten, 4 Bilder, 7 Quellen


    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    Robust marker tracking by the use of a pattern recognition method

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    Robust Marker Tracking by the Use of a Pattern Recognition Method

    Lichtenberger, R. / Weber, H. | British Library Conference Proceedings | 2000



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