Vibe moving target detection method based on gray level 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: 2019-07-05
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 metho

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  • Vibe moving target detection method based on gray level image feature matching
  • Vibe moving target detection method based on gray level image feature matching
  • Vibe moving target detection method based on gray level image feature matching

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Embodiment Construction

[0034]The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0035] refer to figure 1 , the implementation steps of the present invention are as follows:

[0036] Step 1) input video A;

[0037] 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;

[0038] Step 2) Convert the first frame image of video A to grayscale image G 0 :

[0039] Read the first frame image of video A and convert it to grayscale image G 0 ;

[0040] Step 3) Construct grayscale image G 0 Vibe background model:

[0041] Step 3a) Set the grayscale image G 0 The position coordinates of any pixel in is (x, y), x≤N, y≤M;

[0042] 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 provides a Vibe moving target detection method based on gray level image feature matching. The method is used for solving the problem that in the prior art, the moving target detection precision and recall rate are low. The method comprises the following implementation steps: (1) inputting a video A; (2) converting the first frame of image of the video A into a grayscale image G0; (3) constructing a Vibe background model of the grey-scale map G0; (4) labeling a foreground point area in each frame of image behind the first frame of image of the video A; (5) based on an image feature matching algorithm, performing ghosting area discrimination on a T-2R-1 frame grey-scale image; (6) updating the Vibe background model of the grayscale image G0; and (7) obtaining a moving target area which does not contain the ghosting area. According to the method, the foreground area is discriminated and the ghosting area and the noise area are eliminated by adopting a grayscale image feature matching algorithm, so that high-precision detection on the moving target is realized, and the method can be used for tracking the moving target and analyzing behaviors in a 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,...

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Application Information

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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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