❑ 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.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Using template matching for object recognition in infrared video sequences


    Contributors:


    Publication date :

    2015-09-01


    Size :

    10598335 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Using template matching for object recognition in infrared video sequences

    Pham, Iq. / Jalovecky, R. / Polasek, M. | IEEE | 2015


    Using Template Matching Technique for Object Detection in Infrared Images

    Pham, I. Q. / Polášek, M. | British Library Conference Proceedings | 2014


    Object recognition by multiresolutional template matching [2606-29]

    Prasad, L. / Rao, R. L. / SPIE | British Library Conference Proceedings | 1995


    Wide Baseline Matching between Unsynchronized Video Sequences

    Wolf, L. / Zomet, A. | British Library Online Contents | 2006


    Object-Level Targeted Selection via Deep Template Matching

    Kothawade, Suraj / Roy, Donna / Fenzi, Michele et al. | IEEE | 2022