Video sequence background recovery method based on online low-rank background modeling
A technology for video sequence and background modeling, applied in the field of video analysis
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[0071] The low-rank decomposition of nuclear norm and motion information estimation are introduced into the traditional matrix low-rank sparse decomposition model, so that the accurate background of the video sequence can be recovered online, that is, the video sequence background recovery method based on online low-rank background modeling, Thereby solving the problem that the prior art cannot handle. The present invention will be described in detail below in conjunction with the accompanying drawings and embodiments.
[0072] 1) The background restoration problem in the video sequence is specifically expressed as solving the following unconstrained optimization equation:
[0073]
[0074] Where||·|| F Represents the Frobenius norm of a matrix. ||·|| * Represents the kernel norm of a matrix. ||·|| 1 Indicates the one-norm of the matrix. ο represents the dot product operation of two matrices. D is a matrix in which actual video sequence frames are arranged sequential...
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