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Ghost and still target suppression method based on improved ViBe (Visual Background Extractor)

A stationary target, improved technology, applied in image data processing, instrumentation, computing and other directions, can solve the problem of inability to quickly and effectively suppress ghosts and stationary targets, to suppress ghosts and stationary targets, improve accuracy, and enhance real-time sexual effect

Inactive Publication Date: 2018-05-01
JIANGNAN UNIV
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AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a method for suppressing ghosts and stationary objects based on the improved ViBe, which overcomes the defect that ghosts and stationary objects cannot be quickly and effectively suppressed in the original ViBe algorithm, so as to improve the accuracy of foreground detection

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  • Ghost and still target suppression method based on improved ViBe (Visual Background Extractor)
  • Ghost and still target suppression method based on improved ViBe (Visual Background Extractor)
  • Ghost and still target suppression method based on improved ViBe (Visual Background Extractor)

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Embodiment Construction

[0019] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments.

[0020] The invention provides a method for suppressing ghost images and stationary objects based on the improved ViBe. refer to figure 1 , the method first performs background model initialization, foreground detection and background model update; then realizes the suppression of ghosts and stationary targets in three steps, namely: detection of ghosts and stationary targets, judgment of ghosts and stationary targets, As well as suppression of ghosting and stationary target areas.

[0021] The specific implementation steps are as follows:

[0022] (1) Use the video stream processing function library included in OpenCV to read the video sequence to be processed frame by frame.

[0023] (2) Background model initialization. The first frame is used for modeling, that is, N (N=20) eight adjacent pixel values ​​are randomly selected for...

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Abstract

The invention provides an improved ViBe (Visual Background Extractor) algorithm in allusion to problems that it is easy to introduce ghosts and still targets in foreground detection of the traditionalViBe algorithm and that the ghosts and the still targets can only be eliminated after many frames. The improved ViBe algorithm aims to quickly and effectively suppress ghosts and still targets when foreground detection is performed. On the basis of the original ViBe algorithm, ViBe foreground extraction is respectively performed on two continuous frame images and a background model, an extractedcommon part is a detected ghost and still target region, then whether there is a ghost or a still target in the region is judged through comparing the current pixel value variance of the region and the pixel value variance of the background model, and finally the background model is updated through different strategies, thereby achieving a purpose of quickly and effectively suppressing the ghost and the still target. The ghost and still target suppression method has a obvious effect for quickly suppressing ghosts and still targets appeared in the traditional ViBe algorithm, and improves the accuracy of foreground detection.

Description

technical field [0001] The invention relates to the field of computer vision technology and video image processing, in particular to the suppression technology of ghost images and static targets of ViBe algorithm. Background technique [0002] Intelligent security systems and intelligent transportation systems have become hot research directions at present. Since moving object detection technology is the core technology in intelligent video surveillance, it is possible to quickly and accurately extract moving objects and has attracted the attention of researchers. There are three main types of commonly used moving target detection algorithms: optical flow, frame difference method and background difference method. [0003] The background subtraction method uses the difference between the current frame image and the established background model to detect the moving target. Because of its low complexity and easy implementation, it is widely used in practice. Common background ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/254G06T7/215
CPCG06T2207/10016G06T2207/20224G06T2207/30232G06T7/215G06T7/254
Inventor 高美凤房峰于力革
Owner JIANGNAN UNIV
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