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Background model updating method and device

A technology of background model and update method, applied in the field of target detection, can solve the problems of ghosting, consuming processing time and memory, and achieve the effect of avoiding ghosting, reducing processing time and memory

Active Publication Date: 2016-02-17
RICOH KK
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  • Claims
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AI Technical Summary

Problems solved by technology

Since this method updates the full width of the background image when background changes are detected, it is processing time and memory intensive
On the other hand, most of the typical update mechanisms of existing dynamic background models will bring about "ghosting" problems

Method used

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Embodiment Construction

[0015] In order to enable those skilled in the art to better understand the present invention, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0016] As mentioned earlier, slow environmental disturbances create and accumulate perturbations in the image over time. Illumination change is the most important and most representative environmental disturbance, and the background model update technology according to the embodiment of the present invention will be described below by taking the disturbance caused by the illumination change as an example.

[0017] First, the basic idea of ​​the present invention is briefly introduced. As is well known in the art, a disturbed pixel refers to an image (or shooting scene) that is susceptible to changes in the pixel value (grayscale, color, or depth information, etc.) caused by environmental changes such as lighting and airflow, which will have a negat...

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Abstract

The invention provides a background model updating method and device. The background model updating method comprises the following steps: obtaining a foreground image of a current frame grayscale image by use of a background model; detecting disturbance pixels in the foreground image; and based on the disturbance pixels, updating the background model. According to the background model updating technology provided by the embodiments of the invention, the background model is updated at a pixel grade on the basis of the disturbance pixels so that processing time and internal memory are greatly reduced. Besides, the background model is not updated for a temporarily stationary target object by use of the technology, and the problem of "ghosting antifact" is avoided.

Description

technical field [0001] The present invention generally relates to image processing, and specifically relates to a background model updating method and device in the field of target detection. Background technique [0002] Foreground detection is the basic preprocessing of machine vision and image processing. In the field of image-based object detection, it is a commonly used and effective method to detect the foreground by comparing the image to be detected with the background model. In this detection method, the accuracy of the background model will directly affect the detection results of the foreground. For most image-based object detection and tracking technologies, being able to work for a long time (or even work all day) is a basic requirement. However, slow environmental disturbances in the detection scene, especially illumination changes, will cause changes in image information (grayscale or depth), which will affect the accuracy of the background model. Such slow...

Claims

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Application Information

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IPC IPC(8): G06T7/00
Inventor 诸加丹范圣印王鑫王千乔刚
Owner RICOH KK
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