Moving object detection method fusing color and texture information for performing block background modeling

Abstract

The invention discloses a method for detecting a moving object in video. The method comprises the steps of calculating texture pattern characteristics of a current video frame, dividing the current video frame into small blocks, combining every four adjacent small blocks into a large block, calculating a texture pattern characteristic histogram of each large block, and updating a texture pattern characteristic background model in each large block; according to the texture pattern characteristic background models and the texture pattern characteristic histograms of the large blocks, obtaining the probability, belonging to the background, of the large blocks under texture characteristics, and therefore performing average solving on the overlapped small blocks to obtain the probability, belonging to the background, of the small blocks under the texture characteristics; according to color information, updating a current main background image; according to the main background image and the color information, obtaining a color difference value of the current video frame and the small blocks of the main background image; according to the probability, belonging to the background, of the small blocks under the texture characteristics and the color difference between the small blocks and the main background image, judging whether the small blocks belong to the background or not; according to a judgment result of a foreground and the background, obtaining foreground blocks through segmentation, and using a communication domain for performing analysis to obtain a moving object detection result.

Description

technical field [0001] The invention belongs to the technical field of computer vision, and mainly relates to feature extraction, model establishment and update, and model-based classification, in particular to a moving target detection method for quickly fusing color and texture information for block background modeling. Background technique [0002] Moving object detection plays a very important role in many video processing applications such as object tracking, classification and recognition, because it is the input of many upper-layer video processing and can directly affect the performance of upper-layer video processing. The best result is that each moving target can be detected completely and individually. [0003] Background modeling is usually an indispensable step for moving object detection, and there have been many research results in this field. Early work generally builds a background model for each pixel. The earliest is to build a single Gaussian model for ...

AI Technical Summary

Problems solved by technology

[0010] For dense crowds, different people are likely to be connected together when the foreground is detected after the background model is built, and in the case of dense crowds, due to the existence of various light occlusions, the lighting conditions will change frequently

[0011] The existence of smooth foreground and smooth background will challenge the texture features

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