Camshift algorithm based on grabcut and lbp tracking centroid correction model
A centroid and model technology, applied in the field of computer vision real-time tracking, can solve problems such as interference of objects of similar color, and achieve the effect of increasing contrast and eliminating background noise.
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[0018] The above and other features and advantages of the present invention can be more clearly understood through the following detailed description in conjunction with the accompanying drawings.
[0019] The algorithm of the invention is mainly researched and improved on the basis that the fusion algorithm of Camshift and Kalman cannot stably achieve accurate real-time tracking effect on the background noise influence and similar color interference problems.
[0020] The Grabcut segmentation algorithm is used to segment the target in the enhanced video stream to obtain a pure target histogram, which reduces the tracking deviation. Based on the Camshift algorithm, the image is converted from the RGB color space to the HSV color space (H means chroma, S means saturation, V means brightness), and we use the histogram of the H component (strong robustness to light) to establish In the color probability target model, the pixel value of the original image is replaced by the statis...
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