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A Foreground Extraction Method Fused with Superpixels and 3D Self-Organizing Background Subtraction

A technology of background subtraction and foreground extraction, applied in image analysis, image data processing, instruments, etc., can solve problems such as slowness

Active Publication Date: 2019-12-24
NANJING UNIV OF POSTS & TELECOMM
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] The purpose of the present invention is to solve the above-mentioned problems of detecting slowly moving targets and temporarily stationary targets after entering the scene, and propose a foreground extraction method that combines superpixels and 3D self-organized background subtraction, which can still use 3D self-organized background subtraction Calculation method of Euclidean distance in HSV color space in the algorithm

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  • A Foreground Extraction Method Fused with Superpixels and 3D Self-Organizing Background Subtraction
  • A Foreground Extraction Method Fused with Superpixels and 3D Self-Organizing Background Subtraction
  • A Foreground Extraction Method Fused with Superpixels and 3D Self-Organizing Background Subtraction

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Embodiment approach

[0079] A preferred embodiment of the foreground extraction method of the fusion superpixel and three-dimensional self-organized background subtraction method of the present invention specifically includes the following steps:

[0080] Step 1: Use the superpixel algorithm to segment the image frame;

[0081] 1. Superpixel segmentation operator:

[0082] Step 1 of the present invention specifically includes the following sub-steps:

[0083] Formula 1 initializes the seed point. Assuming that an image containing N×N pixels is divided into K×K superpixels, the size of each superpixel is close to N 2 / K2, and the distance between each seed point is approximately S=N / K. In order to prevent the seed point from being located at the edge of the image and causing interference to the subsequent clustering process, it is necessary to move the seed point from the 3×3 window centered on it to the position with the smallest gradient value shown in formula 1, and at the same time for each ...

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Abstract

The invention discloses a superpixel and three-dimensional self-organizing background subtraction algorithm-combined foreground extraction method. The method includes the following steps that: firstly, a superpixel segmentation method is adopted to perform segmentation iteration on all regions; secondly, a three-dimensional self-organizing background subtraction algorithm is adopted to perform image background modeling; and finally, foreground moving target extraction is realized through an optimum weight strategy. With the superpixel and three-dimensional self-organizing background subtraction method-combined foreground extraction method of the invention adopted, targets which move slowly and targets which enter a scene and are stationary temporarily can be effectively detected, detection accuracy and processing speed can be improved to a certain extent; and based on a superpixel and three-dimensional self-organizing background subtraction algorithm-combined frame, detection of moving targets can be realized, and processing speed and processing effects can be improved.

Description

technical field [0001] The invention relates to a foreground extraction method that combines superpixels and three-dimensional self-organized background subtraction, and belongs to the technical field of image processing. Background technique [0002] Traditional video surveillance systems are mainly used for recording, and human participation is still required for real-time detection of abnormal behavior events and subsequent analysis of accident causes. The intelligent video surveillance system has the ability to independently judge the behavior of the surveillance site, that is, when abnormal behavior occurs in the surveillance video, the intelligent surveillance system can respond quickly and send an alarm to the video surveillance personnel. Therefore, object detection, object tracking, and abnormal behavior detection in intelligent surveillance systems have increasingly become a hotspot in the field of computer vision research in recent years. [0003] Moving object d...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/215G06T7/194
Inventor 朱松豪孙娴金栋梁荆晓远岳东
Owner NANJING UNIV OF POSTS & TELECOMM