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Shanxi Provincial Education Department
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Taiyuan University of Technology
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SUN Hongbin
ISSN: 1007-9432
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  • A Method of Mine Moving Objects Detecting and Tracking Based on RGB Color Space
    DOI:
    10.16355/j.cnki.issn1007-9432tyut.2017.06.015
    Received:
    Accepted:
    abstract:

    On the basis of studying the gray-level plane frame-difference method,a method of detecting video moving objects was put forward based on the color change frame-difference method in RGB color space.The algorithm calculates the frame difference of two adjacent color video frames on RGB three planes separately,and determines whether the changes of the pixel values of RGB three planes for each pixel spot is are in the same direction and calculate by superimposing them.As a consequence,the image of moving objects in frame-difference image is clearer and the noise is more prominent,which makes the foreground image and the background image more easily separated,and subsequent morphological processing such as binarization,filtering,filling and expansion corrosion easier.By using above algorithm and Camshift algorithm,the aim of detecting and tracking the moving objects in coal mine was achieved on Labview.The field test results show that the combined algorithm can complete the real-time and accurate detection and tracking of moving objects in coal mine,can realize the linkage with existing production safety monitoring system,which can further ensure the safety of mine production.


    Keywords:
    RGB color space;color change frame-difference method;moving objects detection and tracking;Camshift algorithm

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