Self-adaptive background modeling and moving target detecting method

Abstract

The invention relates to a self-adaptive background modeling and moving target detecting method which comprises the following steps: establishing an initial background, extracting a moving target binary mask, updating a self-adaptive background and detecting a moving target: firstly, determining the pixel gray value of the initial background by using an inter-frame difference method; successively, carrying out binarization treatment on a difference image by using a self-adaptive threshold valve when a difference image is obtained by a current frame image minus a background image and post-treating of morphological filtering and the like to obtain the moving target binary mask; then, carrying out dynamic update on the gray value of a pixel which is not corresponding to the moving target binary mask in the background image by adopting an region-based background updating method; and finally, carrying out logic 'and' operation by using the moving target binary mask and the current frame input image to detect the moving target. The invention can effectively establish the reliable initial background and carry out real-time dynamic update on the background to solve the problem that the detection accuracy of the moving target is influenced by background disturbance and illumination change.

Description

technical field [0001] The invention belongs to the technical field of intelligent video monitoring, and in particular relates to an adaptive background modeling and moving target detection method in a video monitoring system. Background technique [0002] With the development of video analysis technology, multimedia database, and artificial intelligence technology, the intelligent video surveillance system can timely and automatically extract a large amount of useful information from the original video, which can be transmitted, stored and retrieved, and can also drive other data, Trigger other behaviors to easily complete tasks that are difficult for humans to complete. The combination of computer and image processing technology makes automatic image detection and video analysis possible, which makes the video surveillance system intelligent and produces many new applications. Video analysis can greatly improve monitoring efficiency, identify behaviors and types from comp...

AI Technical Summary

Problems solved by technology

In order to solve the "deadlock" problem in the existing background update algorithm and the low accuracy of moving object detection, the present invention discloses an adaptive background modeling and moving object detection method, including the initial background based on the inter-frame difference method Four steps are image establishment, moving target binarization mask extraction based on background subtraction method, region-based selective adaptive background update and moving target detection

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