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Detecting a high-quality moving object with good robustness in computer vision system has important significance for follow-up task. Researching on the traditional algorithm, this paper proposes a background reconstruction algorithm based on a modified k-means clustering and the Single Gaussian model which could provide an accurate background image through a sequence of scene images with foreground...
The Hough transform is an elegant way of extracting global features like line segments from binary edge images. However, long computation time and large memory requirements prevents it from being used for practical computer vision tasks. In this paper, we introduce a new randomized Hough transform to improve line detection accuracy and robustness, as well as computational efficiency. The method is...
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