Video background extraction method based on weighted sample

Abstract

The invention discloses a video background extraction method based on a weighted sample. Step one, a video image is read in; step two, background modeling is performed on the read-in image, and the model is initialized if the read image is a first frame, or background detection is performed; step three, if the current pixel is a background pixel, background updating is randomly performed; and step four, a background image is acquired and the image is saved. According to the video background extraction method based on the weighted sample, sample updating is performed by using the weight of the sample and an "activity" sample so that error updating of effective samples can be reduced and the expression capability of the model can be enhanced. The use amount of the samples can be reduced and the calculation efficiency can be enhanced under the premise of guaranteeing the background detection accuracy so that the cost of video background extraction can be reduced, the real-time performance is better and the range of application is wide.

Description

technical field [0001] The invention belongs to the field of image processing and video detection, and relates to a moving target detection technology based on visual background extraction. Background technique [0002] With the continuous development of science and technology, camera and monitoring equipment has achieved rapid technological improvement and widespread popularization. This greatly meets the needs of people's daily life, and also provides a security guarantee for people's production and life. At the same time, the video is growing explosively every day, which will bring several serious problems to people: if the storage hardware is increased, the equipment cost will be seriously increased; and attention is limited), which will result in an increase in cost. Therefore, automatic detection of moving objects is inevitable for technological development. This will help to further identify and recognize the target of interest, and will also greatly reduce the cos...

AI Technical Summary

Problems solved by technology

At the same time, the video is growing explosively every day, which will bring several serious problems to people: if the storage hardware is increased, the equipment cost will be seriously increased; and attention is limited), which will increase the cost of

[0004] The existing sample-based background modeling methods usually result in high noise in the processed background image due to untimely updates, and the increase in the number of samples will increase the memory of the computer

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