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Method for detecting moving target

A moving target and detection method technology, applied in the field of video image processing and recognition, can solve the problems of inaccurate detection and achieve high detection efficiency and accurate positioning

Inactive Publication Date: 2013-12-25
SHENZHEN GRADUATE SCHOOL TSINGHUA UNIV
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AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to overcome the deficiencies of the prior art, provide a moving target detection method with high detection efficiency and accurate positioning, and solve the problem of inaccurate detection when the moving object is stationary or moving slowly for a long time

Method used

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  • Method for detecting moving target

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Embodiment Construction

[0029] Embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings. It should be emphasized that the following description is only exemplary and not intended to limit the scope of the invention and its application.

[0030] refer to figure 1 , in some embodiments, moving target detection method comprises the following steps:

[0031] Step a) reading in video frames may include converting the original video into frame-by-frame video images.

[0032] Step b) preprocessing the video frame into a grayscale image frame by frame, which may include preprocessing such as smoothing the image frame, and converting it into a grayscale image to prepare for the subsequent steps.

[0033] Step c) judging whether the read-in image frame is the first frame, if yes, building a GMM (Gaussian mixture model), if not, turning to step d).

[0034] To establish GMM, that is, to initialize the Gaussian mixture model, a random pixel value in ...

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Abstract

The invention discloses a method for detecting a moving target. The method comprises the following steps of (a), reading in a video frame, (b), preprocessing the video frame and enabling the video frame to become a gray level image frame, (c), judging whether the image frame is a first frame or not, if yes, building a GMM, and if not, carrying out the step (d), (d), processing the image frame, and obtaining characteristics of the moving target; (e), fusing the characteristics and obtaining image information of the moving object, (f), computing pixel points of the moving object to obtain the mass center of the moving object, and storing the position, in the frame, of the moving object, (g), comparing the mass center with a set threshold value, judging whether the mass center changes or not between two frames, if the mass center does not change, carrying out the step (i), and if the mass center changes, carrying out the step (h), (h), carrying out morphological processing and updating the GMM, (i) carrying out the morphological processing and not updating the GMM, (j) outputting the detection result of the current frame. The method can solve the problem that detection is not accurate when the moving object keeps static for a long time or when the moving object moves slowly, and is particularly suitable for detecting moving objects under the sea.

Description

technical field [0001] The invention relates to video image processing and recognition, in particular to a moving target detection method. Background technique [0002] For the detection of submarine moving targets in videos, the general process of existing technologies is to use mature modeling techniques to model and analyze submarine videos without considering the behavior of moving targets, and simply establish a background model to differentiate activities based on the background. moving object, and the update of the background does not depend on the behavior of the moving object. [0003] For example, the moving target detection algorithm process proposed by Yin Mengni et al. in the "Journal of Harbin Business University" in 2012 is: an improved Gaussian mixture model moving target detection algorithm, and its entire process can be summarized into five parts: image input part, Gaussian mixture motion The target detection part, the SUSAN edge detection part, the featur...

Claims

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Application Information

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IPC IPC(8): G06T7/20
Inventor 李秀高福信闫天翔陈连胜
Owner SHENZHEN GRADUATE SCHOOL TSINGHUA UNIV
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