Compressed sensing based video background reconstruction and emergent mass incident early warning platform
A compressed sensing and video technology, applied in computer components, 2D image generation, image data processing, etc., can solve the problems of sensitivity to light changes in the warning area, unusable, immature background reconstruction technology, etc., to protect life and property Safety and the effect of avoiding group riots
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[0016]The invention proposes a brand-new video background reconstruction method based on compressed sensing theory. like image 3 As shown, we know that in the long-term video capture screen, the gray value of each pixel mostly shows the background image of the captured video, and only when the target appears will be covered by the foreground screen. Therefore, here we treat the foreground picture as a sparse signal. Here we select 30 minutes of video as input by default, and reconstruct the background image in an adaptive way. Suppose the input video stream includes K images X 1 、X 2 …X K Each image contains m×n pixels, and our goal is to reconstruct the background image B point by point using an optimization algorithm that minimizes the L1 norm. Assuming i=1...m×n, we use the following formula to reconstruct the background image:
[0017]
[0018] Among them, f (k,i) is the i-th pixel of the foreground k-th image, x (k,i) Represents the i-th pixel of the k-th i...
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