❑ The template matching technique could be implemented in IR video sequence to recognize the given target, ❑ In a video sequence with many objects, we can still use a template object in a frame of the video to recognize the object in the other frames, ❑ With selecting the size of the template image is nearly identical to the size of the target and a size of sub-image ƒ more than 2 or 3 times the size of template image g, will give us a result with the high accuracy and processing time is also acceptable, ❑ To ensure more accurate, we should open up a new solution for taking the updated template image g after a period of time to avoid a decrease of correlation coefficient., ❑ Firstly, this algorithm is not capable of identifying targets in case its characteristics are changed, for example, obscured by other objects, masked by terrain conditions, ❑ Secondly, the algorithm cannot detect objects at long distances in comparison with background subtraction algorithm, ❑ In this paper we used maxcc ≥ 0.8. The correlation coefficient value is often chosen on dependence on distance, movement direction and size of template image.


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    Titel :

    Using template matching for object recognition in infrared video sequences


    Beteiligte:
    Pham, Quy Ich (Autor:in) / Jalovecky, Rudolf (Autor:in) / Polasek, Martin (Autor:in)


    Erscheinungsdatum :

    01.09.2015


    Format / Umfang :

    10598335 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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