Target detection tracking method based on TLD algorithm
A target detection and algorithm technology, applied in the field of target tracking in computer vision, can solve problems such as low precision and insufficient robustness, and achieve the effect of improving precision and accurate tracking
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[0020] The present invention will be further described below with reference to the specific implementation manners of the drawings.
[0021] The basic LBP operator is defined as in a 3*3 window, with the center pixel of the window as the threshold, the gray value of the adjacent 8 pixels is compared with it, if the surrounding pixel value is greater than the center pixel value, then the pixel The position of is marked as 1, otherwise it is 0. In this way, 8 points in the 3*3 area can produce an 8-bit unsigned number, that is, the LBP value of the window is obtained, and this value is used to reflect the texture information of the area.
[0022] The basic LBP operator can be further generalized to use neighborhoods of different sizes and shapes. Using circular neighborhoods combined with bilinear interpolation allows us to obtain arbitrary radius and arbitrary number of neighborhood pixels. The LBP operator with P sampling points in a circular area with a radius of R:
[0023]
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