A moving object detection method based on coarse-to-fine image segmentation

A moving target and detection method technology, which is applied in the field of target detection to achieve the effects of fast detection speed, high detection accuracy, and high detection image precision

Inactive Publication Date: 2018-12-25
NAT INNOVATION INST OF DEFENSE TECH PLA ACAD OF MILITARY SCI
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Problems solved by technology

However, even with a multi-scale strategy, the superpixel contours may not necessarily match the target contours well.

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  • A moving object detection method based on coarse-to-fine image segmentation
  • A moving object detection method based on coarse-to-fine image segmentation
  • A moving object detection method based on coarse-to-fine image segmentation

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[0033] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0034] Such as figure 1 As shown, it is a flow chart of the method for moving target detection in the present invention, which includes: acquiring multiple frames of detection images; performing feature point extraction on the first frame image, and performing feature point extraction on the subsequent n-1 frame images Tracking to generate motion clues, determining the classification of the feature points in the nth frame image by ...

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Abstract

A moving object detection method based on coarse-to-fine image segmentation comprises the following steps: n frame detection images are acquired; feature points are extracted from the first frame image, and the feature points are extracted from the next n-1 frame image to generate motion cues, and a classification of the feature points in the n-th frame image is determined by performing motion segmentation on the motion cues; superpixel segmentation is performed on the n-th frame image to reduce the dimension of the n-th frame image; according to the classification of the mark points in the n-th frame image, the superpixels are marked, and the superpixels are clustered by the similarity measure method, and the rough segmentation of the image is completed on the basis of clustering. The coarse segmentation image is constructed into a quaternary image, and then the quaternary image is fine segmented, so as to realize the accurate detection of the moving object. Through the segmentation from the coarse to the fine, the invention not only has high accuracy rate to the detection of the moving object in the image, but also has faster detection speed, and is more suitable for the detection of the fast moving object.

Description

technical field [0001] The invention relates to the technical field of target detection in spacecraft short-distance perception, in particular to a moving target detection method based on coarse-to-fine image segmentation, which is used to quickly and accurately detect running objects in the image. Background technique [0002] The existing detection of moving objects based on vision can be roughly divided into two categories: background subtraction (Background Subtraction) methods and methods based on motion cue (Motion Cue). [0003] The background subtraction method first uses pixel features such as Gaussian Mixture Model (GMM), codebook (Codebook), etc., or texture features such as local binary patterns (Local Binary Patterns, LBP), scale-invariant local ternary patterns (Scale Invariant Local Ternary Patterns, SILTP) etc. to model the appearance of the background. When detecting the foreground, the image is subtracted from the model, and the area where the difference e...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/215G06T7/246G06K9/62
CPCG06T7/215G06T7/246G06F18/23
Inventor 朱效洲曹璐姚雯陈小前赵勇白玉铸王祎
Owner NAT INNOVATION INST OF DEFENSE TECH PLA ACAD OF MILITARY SCI
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