Complex background modeling method based on variable Gaussian mixture number

Abstract

The invention relates to a complex background modeling method based on a variable Gaussian mixture number and belongs to the technical field of photoelectric product application. The complex background modeling method comprises the following steps: assuming that each pixel in a video scene is affected by independent Gaussian noise, establishing a background pixel model; according to the pixel model, calculating the whole video scene model; calculating the probability of a certain pixel point value by using a Gaussian mixture model; based on a current pixel point value, a pixel point mean value and a pixel point variance value, calculating the Mahalanobis distance from a current pixel point to a certain Gaussian distribution; updating background model parameters of Gaussian mixture distribution according to a comparison result between the Mahalanobis distance and a judged threshold so as to model a complex background. In the complex background modeling method, through the Gaussian mixture model and a variable Gaussian mixture number updating strategy, a moving target in a complex scene under dynamic disturbance can be effectively detected; tests on visible light sequence images in a street environment prove that the complex background modeling method has good interference resistance and realizes detection of a moving object in complex scenes such as tree branch waggling, shadow existence.

Description

technical field [0001] The invention relates to the technical field of optoelectronic product applications, in particular to a complex background modeling method based on variable Gaussian mixture numbers. Background technique [0002] Back moving object detection technology based on video or image sequence has always been a very important and active research topic in the fields of computer vision, image processing and pattern recognition. How to extract the object of interest from the video image sequence is the first and most important step in the intelligent video analysis system. The effectiveness of video moving target detection methods directly affects the processing effect of subsequent systems. In practical applications, due to the complexity of the environment where the moving target is located and some degradation in image transmission and conversion in the image system, complex backgrounds Moving object detection becomes more difficult. Therefore, finding a real...

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is how to design a variable Gaussian mixture number adaptive background modeling method, through the Gaussian mixture model and the variable Gaussian mixture number update strategy, to complete the adaptive learning of the complex background, and to build a stable Adaptive background model for moving object detection in complex backgrounds

Images