Fixed scene moving object extraction method and device

Abstract

The invention provides a fixed scene moving object extraction method and device. The method comprises the steps of: S101, obtaining and marking N frames of images in a video stream; S102, setting that the ith frame is an object image, subtracting the ith frame of image from other images respectively, calculating the differences, taking the absolute values, and obtaining a group of difference images; S103, converting the difference images into binary images through a threshold; S104, for all images, accumulating all corresponding position elements and obtaining one accumulated image; S105, carrying out screening on the values of the accumulated image, and selecting all the matrix image blocks whose value is N-1, namely moving objects. The sampling frame number is adjusted, so that the moving object extraction effect and efficiency of the algorithm are balanced, and the algorithm is enabled to applicable to various hardware platforms. The algorithm is free from the influences of sampling frame intervals and sequences, so that the algorithm is more flexible. A relatively large image frame number is utilized to avoid the condition that the objects are not staggered among all frames, so that the integrity of the obtained moving objects is greatly improved.

Description

Technical field [0001] The embodiments of the present invention relate to video shooting technology, in particular to methods and devices for extracting video moving targets Background technique [0002] At present, extracting moving targets from fixed scenes is a hot and difficult point in computer vision research. In the prior art, the first N frames of image data of the video are used to model the background to construct the background image, and the moving target in the current image is detected by making the difference between the current frame and the background image. This method requires a large number of video frames to build a background model. In addition, when there is a running target in the first frame, the background modeling will use the moving target as the background, so that the detection accuracy of the moving target in subsequent frames is reduced. [0003] The frame difference method is another method of detecting moving targets. Calculating the frame diffe...

AI Technical Summary

Problems solved by technology

When this method extracts moving objects, it is affected by the number of sampling frames and the sequence between frames, so it cannot extract moving objects well, and subsequent operations such as morphological filtering are required.

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