Improving the Efficiency of Background Subtraction using Superpixel Extraction and Midpoint for Centroid | Zendy

K. Suganya Devi | Zendy; N. Malmurugan | Zendy; S. Poornima | Zendy

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Improving the Efficiency of Background Subtraction using Superpixel Extraction and Midpoint for Centroid

Author(s) -

K. Suganya Devi,

N. Malmurugan,

S. Poornima

Publication year - 2012

Publication title -

international journal of computer applications

Language(s) - English

Resource type - Journals

ISSN - 0975-8887

DOI - 10.5120/6136-8372

Subject(s) - midpoint , centroid , computer science , background subtraction , subtraction , artificial intelligence , extraction (chemistry) , pattern recognition (psychology) , computer vision , mathematics , chromatography , geometry , arithmetic , chemistry , pixel

This paper deals with an efficient background subtraction of image/frames of video by improving the execution speed, accuracy and reduce the usage of memory. Three important techniques are applied to improve the efficiency: superpixel extraction, canny edge detection and fuzzy c means. On applying the above three methods sequentially, the background of image/video can be segmented from foreground object accurately. The first method reduces the processing data more than 75%. Canny edge detection is an optimized method to detect edges. Fuzzy c means works well and good to segment the overlapped objects in an image/video. General Terms Canny edge detection, Feature extraction, Fuzzy c means, Gradient, Segmentation, Smoothing.

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