Self-adapting background subtracting method based on Gaussian mixture background reconstruction

Abstract

The invention discloses a self-adapting background subtracting method based on Gaussian mixture background reconstruction. The method comprises steps of collecting video frames, extracting an initial background frame, and initializing a background model; establishing Poisson distribution of a noise model by using R (red), G (green) and B (blue) component differences of the current frame and the background frame, counting a histogram of the Poisson distribution, and calculating relative variances for the obtained histogram; and ranking the obtained relative variances, finding a maximum value to serve as a segmentation threshold of R, G and B components of the current frame, conducting binaryzation and obtaining a foreground frame. The method is adapted to dynamic background perturbation and light change effect, moving objects in a video can be detected in real time, and the method is good in robustness.

Description

technical field [0001] The invention relates to computer vision technology, in particular to an adaptive background subtraction method based on mixed Gaussian background reconstruction. Background technique [0002] With the development of science and technology and the continuous enhancement of people's awareness of safety precautions, a new generation of video surveillance systems with intelligent analysis functions has begun to play a very active role in the field of security monitoring and has begun to penetrate into our daily lives. [0003] Intelligent video surveillance refers to the use of computer vision analysis methods to automatically analyze video sequences without human intervention, to achieve moving target detection, classification, identification, tracking, etc., and on this basis, through pre-set rules Analyze the target's behavior to provide reference for further measures (such as automatic alarm when the object enters the fortified area). Among them, the...

AI Technical Summary

Problems solved by technology

[0008] The invention provides an adaptive background subtraction method based on mixed Gaussian background reconstruction, which can realize accurate detection of moving targets in complex scenes, and solves the interference of various external factors in complex scenes (such as lighting changes, slight camera shake, dynamic background elements, etc.), which seriously affect the accuracy of moving target segmentation

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