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  • A Consistent, Real-Time Image Segmentation for Object Tracking

    Author(s)
    Le, Xuesong
    Gonzalez, Ruben
    Griffith University Author(s)
    Gonzalez, Ruben
    Le, Xuesong
    Year published
    2016
    Metadata
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    Abstract
    A novel colour image segmentation method designed for region based image registration and video object tracking is proposed. For these applications consistency of segmentation across video frames is very important. To reduce computational complexity, the image is separately segmented in the hue and value feature spaces before combining the results together. Experimental results comparing the proposed and other competing methods are presented and show that the proposed method achieves promising results for natural colour image segmentation in image registration application.A novel colour image segmentation method designed for region based image registration and video object tracking is proposed. For these applications consistency of segmentation across video frames is very important. To reduce computational complexity, the image is separately segmented in the hue and value feature spaces before combining the results together. Experimental results comparing the proposed and other competing methods are presented and show that the proposed method achieves promising results for natural colour image segmentation in image registration application.
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    Conference Title
    2016 INTERNATIONAL CONFERENCE ON DIGITAL IMAGE COMPUTING: TECHNIQUES AND APPLICATIONS (DICTA)
    DOI
    https://doi.org/10.1109/DICTA.2016.7796987
    Subject
    Computer Vision
    Publication URI
    http://hdl.handle.net/10072/124111
    Collection
    • Conference outputs

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