Video image motion target extracting method based on pattern detection and color segmentation

Abstract

The invention provides a video image motion target extracting method based on pattern detection and color segmentation. The method comprises the steps of: firstly preprocessing video signals to obtain an RGB (red, green and blue) image, performing k-means image clustering segmentation to the RGB image, and recording color classification number of each pixel point; secondly, performing LBP (local binary pattern) detection according to the gray value of the current frame and the background frame, calculating to obtain the pixel points representing a motion target, and creating a mapping relation between the pixel points and macro blocks to obtain the macro block level motion target; then, according to the color classification number and pixels of the motion target, performing overlapping detection to obtain the initial motion target; and at last, merging the motion targets obtained from the LBP detection and the color segmentation, and filtering to obtain the final motion target. The method has the advantages that the advantages of accurate location in the pattern detection and robustness of illumination variation are kept; and the problem that the motion target is fused in a background by slow movement or in-situ movement can be effectively solved.

Description

technical field [0001] The invention relates to a video image moving target extraction method, in particular to a video image moving target extraction method based on texture detection and color segmentation. Background technique [0002] Moving target extraction is widely used in many fields such as intelligent video surveillance, image compression, computer graphics, human-computer interaction, virtual reality, etc. It is an important research topic in the field of computer vision. Moving target extraction is at the bottom of the entire video processing system, and is the basis for various subsequent advanced processing such as target tracking, target classification, behavior recognition, scene understanding, etc., and has become one of the focuses of the next generation of efficient and intelligent video image processing . [0003] At present, the commonly used moving target extraction methods can be divided into three categories: optical flow method, frame difference me...

AI Technical Summary

Problems solved by technology

[0006] The present invention mainly solves the technical problems existing in the prior art; it provides a method that not only maintains the advantages of accurate texture detection and positioning, and is robust to illumination changes, but also effectively solves the problem of moving objects in the case of slow motion or in-situ motion. A method for extracting moving objects from video images based on texture detection and color segmentation

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