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Vibe moving target detection method based on grayscale image feature matching

A feature matching and grayscale image technology, applied in the field of image processing, can solve the problems of low detection accuracy and recall rate, achieve the effects of improving recall rate, solving poor modeling stability, and improving accuracy

Active Publication Date: 2021-09-03
XIDIAN UNIV
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Problems solved by technology

[0006] The purpose of the present invention is to overcome the defects in the above-mentioned prior art, and propose a Vibe moving target detection method based on grayscale image feature matching, which is used to solve the low detection accuracy and recall rate mainly existing in the prior art question

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  • Vibe moving target detection method based on grayscale image feature matching

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Embodiment Construction

[0033] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0034] refer to figure 1 , the implementation steps of the present invention are as follows:

[0035] Step 1) input video A;

[0036]Input the video A whose size is M×N and the number of frames is T=1000, taken by a fixed camera, M=544, N=960;

[0037] Step 2) Convert the first frame image of video A to grayscale image G 0 :

[0038] Read the first frame image of video A and convert it to grayscale image G 0 ;

[0039] Step 3) Construct grayscale image G 0 Vibe background model:

[0040] Step 3a) Set the grayscale image G 0 The position coordinates of any pixel in is (x, y), x≤N, y≤M;

[0041] Step 3b) Extract from the grayscale image G 0 Each pixel whose position coordinates are (x, y) is adjacent to the gray value of a randomly selected pixel point, and a total of k times are extracted to obtain k gray values, and these k ...

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Abstract

The invention proposes a Vibe moving target detection method based on grayscale image feature matching, which is used to solve the problem of low precision and recall rate of moving target detection in the prior art. The implementation steps are: (1) input video A; (2) convert the first frame image of video A to grayscale image G 0 ; (3) Build a grayscale image G 0 The Vibe background model; (4) mark the foreground point area in each frame image after the first frame image of video A; (5) carry out ghost area discrimination to T-2R-1 frame grayscale image based on image feature matching algorithm; (6) For the grayscale image G 0 The Vibe background model is updated; (7) Obtain the moving target area that does not contain the ghost area. The invention adopts a grayscale image feature matching algorithm to distinguish the foreground area and eliminate the ghost area and the noise area, so as to realize the high-precision detection of the moving target, and can be used for moving target tracking and behavior analysis in the monitoring video.

Description

technical field [0001] The invention belongs to the technical field of image processing, and relates to a Vibe moving target detection method, in particular to a Vibe moving target detection method based on grayscale image feature matching, which can be used for moving target tracking and behavior analysis in surveillance video. Background technique [0002] Moving object detection is a technology that judges whether there is a corresponding foreground object in each frame of the video image sequence and can extract the characteristics of the corresponding foreground object and display the foreground object. Only when the foreground target is detected can it be tracked and followed by related analysis and processing, so target detection is the basis of target tracking processing. It plays a key role in the intelligent video surveillance system. The technical indicators of the moving object detection method include precision, recall rate, false detection rate and robustness,...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/246G06T11/00
CPCG06T11/00G06T7/246
Inventor 张文博刘鑫铎姬红兵乔任重韩洋
Owner XIDIAN UNIV
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