Tensor-based background subtraction method and system

Abstract

The invention discloses a tensor-based background subtraction method and system. The method comprises the steps of obtaining an observation tensor; carrying out high-order singular value decompositionon the observation tensor to obtain an initialized core tensor, a factor, an initialized auxiliary tensor, a Lagrange multiplier and the number of iterations; decomposing the observation tensor intoa background tensor and a foreground tensor; constraining a background tensor through a tensor sparse detection method based on Kronecker-based representation, and constraining a foreground tensor through a norm to obtain a minimization problem; obtaining an iterative core tensor, an iterative factor, an iterative auxiliary tensor and an iterative foreground tensor by solving a minimization problem; judging whether the change between the iterative foreground tensor and the foreground tensor is smaller than a preset threshold value or not; if not, updating the Lagrange multiplier; if so, obtaining an iterative background tensor according to the iterative core tensor and the iterative factor; and completing foreground and background separation according to the iterative background tensor andthe iterative foreground tensor. The invention can quickly and accurately separate the background from the foreground.

Description

technical field [0001] The invention relates to the field of digital image processing, in particular to a tensor-based background subtraction method and system. Background technique [0002] Video surveillance plays a huge role in modern cities. Monitoring is installed in various traffic points, scenic spots, shopping malls, supermarkets, corridors and other places. The camera works 24 hours a day and will generate a large amount of video data, so there is a big requirement for video storage. At present, the main method used for monitoring and storage is to compress the video image, but compressing the video will have a certain impact on the quality of the video itself. Video background subtraction is an important technology in the field of computer vision. Its purpose is to remove noise and background elements caused by other factors in the video image, so as to obtain the foreground target of interest. Background subtraction has a wide range of applications in the field ...

AI Technical Summary

Problems solved by technology

However, most of the current background subtraction methods only have high constraints on the background or foreground, so the separation of foreground and background is not very sufficient.

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