Method for partitioning mobile object base on a plurality of gaussian distribution

A moving target and Gaussian distribution technology, applied in image analysis, image data processing, instruments, etc., can solve the problems of poor accuracy, poor practicability, slow speed, etc., and achieve the effect of simple logic

Active Publication Date: 2008-07-30
南京中新赛克科技有限责任公司
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Problems solved by technology

[0011] The purpose of the present invention is to solve the problems of poor practicability, slow speed and poor accuracy in the existing background difference method, and to invent an improved method that uses multiple Gaussian distributions to construct the background in the video sequence, and then segment the foreground. Moving Target Segmentation Method Based on Multiple Gaussian Distributions

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Embodiment Construction

[0032] The present invention will be further described below in conjunction with embodiment.

[0033] A moving target segmentation method based on multiple Gaussian distributions, comprising the following steps:

[0034] (1) Initialize the distribution of all background pixels, assign a distribution that cannot exist in practice, and set the weight to 0;

[0035] (2) Accumulate the collected images until 2n+1 frames or more than 2n+1 frames. At this time, the image to be processed is the n+1th frame or more than the n+1th frame; the frame to be processed is called the current frame frame;

[0036] (3), each pixel of the current frame is processed sequentially by the following method, and each pixel being processed is called the current pixel:

[0037] a) sequentially obtain any component of the color space three components of the current pixel, the component values ​​of the previous n pixels continuous in time and the component values ​​of the n pixels continuous in time, an...

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Abstract

Aiming at the problems existing in the prior background differencing that the practicability is bad, the speed is slow, and the accuracy is bad, the invention discloses an improved moving object segmentation method which uses a plurality of Gaussian distributions to construct the background in a video sequence, so as to further segment the foreground, and the method is based on a plurality of Gaussian distributions. The invention also discloses methods for initialization, data collection, pixel value calculation, etc. The invention has the advantages that the speed is fast and the accuracy is high, and is a moving object segmentation method which has very high practical value.

Description

technical field [0001] The present invention relates to a method for segmenting a moving target in a video sequence, especially a method for segmenting a moving target using the Gaussian distribution method commonly used in the background difference method, specifically a method based on multiple Gaussian distributions Moving object segmentation method. Background technique [0002] Traditional video surveillance can no longer meet the needs. Surveillance equipment must not only be able to encode and transmit video, but also be able to analyze and identify the content in the video. To do this, the most basic requirement is to segment the moving target in the video sequence, that is, to distinguish the moving foreground and background. [0003] There are many moving target segmentation methods, which can be roughly divided into three categories: optical flow method, frame difference method, and background difference method. Among them, the optical flow method has a large am...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06T7/20G06T5/00
Inventor 王高浩
Owner 南京中新赛克科技有限责任公司
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