An Improved Background Modeling and Foreground Detection Method

A technology of foreground detection and background modeling, applied in the fields of background modeling and foreground target detection, can solve the problems of optical flow calculation complexity, environmental noise sensitivity, and inability to fully extract action targets

Inactive Publication Date: 2018-04-06
HARBIN INST OF TECH SHENZHEN GRADUATE SCHOOL
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Problems solved by technology

The disadvantage of the algorithm is that it is more sensitive to environmental noise. The selection of the threshold is very critical. If the selection is too low, it is not enough to suppress the noise in the image, and if it is too high, the useful changes in the image will be neglected.
It is possible that abstraction occurs inside the target, and the action target cannot be fully extracted
The optical flow method can detect the target without obtaining scene information in advance, but factors such as noise, multiple light sources, shadows, and occlusions will affect the calculation convergence of the optical flow field; and the optical flow method is complex to calculate and difficult to achieve real-time processing. Purpose

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[0015] In order to make the objectives, technical solutions and advantages of the present invention clearer, the following further describes the present invention in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, but not to limit the present invention.

[0016] Attached figure 1 It is a flowchart of the background modeling and foreground detection method of the present invention.

[0017] First, establish a background model: select the first N frames of images, and establish a respective background set for each pixel. The background set element of each pixel is formed by randomly extracting the pixel value at the same position as the pixel in the previous N frames. Each background set contains M elements.

[0018] Then determine whether each pixel in the current frame belongs to the background point or the previous scenic spot: first determine th...

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Abstract

The invention provides an improved background modeling and foreground detecting method. The method comprises the steps of establishing a background model at first, then judging that pixel points of a current frame belong to background points or foreground points, updating a background set, judging each image frame pixel by pixel through the former process, finally obtaining a binary image where foreground is separated from background and accordingly dividing foreground moving targets from monitoring video. The method overcomes the defects in a traditional target detecting method and improves detecting adaptability, stability and timeliness.

Description

Technical field [0001] The invention relates to the technical field of image intelligent detection and recognition, in particular to a method for background modeling and foreground target detection. Background technique [0002] In intelligent monitoring, moving target detection is of great significance in people's daily production and life, and its purpose is to segment the moving foreground target from the background. However, in actual situations, the monitored environment is full of many uncertain factors, and the background is often easily affected by various influences, such as changes in illumination, dynamic background, shadows, and partial occlusion. These unfavorable factors contribute to the later detection and recognition of moving targets. Brings great challenges. Therefore, it is very important to analyze and model various complex situations, minimize the adverse effects of external complex environmental factors on the target detection and recognition results, redu...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/11G06T7/194
Inventor 樊滨温刘晓炯王明江曲中鑫卢婷舒刘明
Owner HARBIN INST OF TECH SHENZHEN GRADUATE SCHOOL
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