Moving target detection method for carrying out Bayes judgment based on color-texture dual characteristic vectors

Abstract

The invention provides a method for carrying out Bayes judgment on modeling for a video image based on color-texture dual characteristic vectors so as to realize moving target detection. The method comprises the following steps: 1. obtaining a video frame; 2. preprocessing an image; 3. background modeling and carrying out motion detection by utilizing Bayes judgment, wherein the background modeling comprises image color-texture dual characteristic vectors, respectively adopting different characteristic vectors according to the variation of interframe difference of a pixel point, expanding the original Bayes judgment to be two-dimensional due to the independence of the characteristic vectors, setting model parameters and updating control parameters so as to adapt to the change of the state of a moving object; 4. shadow detection, using a texture model to detect a shadow candidate point and eliminating the shadow; 5. processing after the detection, using horizontal projection and vertical projection to determine a foreground area and perfecting the detection result in a divided area through block analysis; and 6. updating a background image, respectively updating according to a detection classification result and setting self-adaptive updating rate parameters so as to adapt to illumination change.

Description

technical field [0001] The invention relates to the technical field of intelligent monitoring, in particular to a moving target detection method in an intelligent video monitoring system. Background technique [0002] With the rapid development of social economy and science and technology, people's demand for security protection is increasing day by day, and the requirements are also constantly improving. The phenomenon of "visual information expansion" is becoming more and more serious, thus promoting the rapid development of video surveillance technology. [0003] Intelligent video surveillance technology refers to the use of machine vision and image analysis methods to make meaningful judgments on actual objects and scenes through captured video frames without human intervention. Automatic analysis to realize the positioning, identification and tracking of targets in dynamic scenes, and understand and semantically describe their behavior. It is intelligent, that is, it n...

AI Technical Summary

Problems solved by technology

The main technical problems to be solved by this method are: 1) Solve the problem of the influence of subtle disturbances in video images on the accuracy of moving object detection, that is, smooth preprocessing of video images to eliminate subtle disturbances; 2) Solve the problem that single eigenvector modeling is difficult to comprehensive The problem of describing the characteristics of pixels is to use color-texture dual eigenvectors to model pixels, which not only comprehensively counts the changes of pixels, but also provides a reference model for subsequent shadow processing; Problems affecting detection accuracy, such as swaying branches, swinging curtains, computer screens, etc., that is, through statistical background modeling of pixels, eliminate misjudgment of changing background parts; 4) Solve the problem of processing speed in the motion detection process , that is, only one eigenvector of color is used to model the pixels that do not change, which reduces the complexity of modeling

Images