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Method and system of detecting moving object under dynamic background

A moving target and detection method technology, applied in the cross-field, can solve problems such as difficult to adapt to background changes, and achieve the effect of reducing detection errors

Inactive Publication Date: 2011-03-30
BEIJING JIAOTONG UNIV
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  • Abstract
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Problems solved by technology

[0009] However, traditional frame difference methods and simple background subtraction methods are difficult to adapt to background changes when detecting moving objects

Method used

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  • Method and system of detecting moving object under dynamic background
  • Method and system of detecting moving object under dynamic background

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Embodiment Construction

[0030] In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0031] Moving object detection is a research focus and difficulty in the fields of computer vision, pattern recognition, video coding, and content-based retrieval. It has been widely used in many fields such as video surveillance, virtual reality, and robot navigation.

[0032] refer to Figure 1A and Figure 1B , the present invention adopts the method of reducing the resolution to perform multi-resolution processing on the image. Among them, the multi-resolution processing refers to the process of Gaussian blurring and reducing the resolution of the image. The invention is divided into two steps of low-resolution processing and high-resolution processing, the sub-region of the moving target is acquired at low-resolution, and ac...

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Abstract

The invention discloses a method and a system of detecting a moving object under a dynamic background. The method comprises low-resolution processing to obtain a sub-region of the moving object and high-resolution processing to obtain an accurate detection result. The method can process the dynamic background well. Furthermore, the complementary detection process of high resolution and low resolution, with respect to Gaussian mixture model moving object detection, has the advantages that: firstly, the low resolution can reduce the influence caused by slow background or sudden local disturbance to reduce the detection error of a complementary algorithm. However, the sudden local disturbance cannot be processed by directly using Gaussian mixture model detection, which can cause detection error when the background suddenly changes. Secondly, the complementary detection of high resolution and low resolution is robust to noise effect.

Description

technical field [0001] The invention relates to the intersecting fields of computer vision, pattern recognition, video coding, content-based retrieval, etc., and particularly relates to a method and system for detecting moving objects under a dynamic background. Background technique [0002] Moving object detection has a wide range of applications in many fields such as video surveillance, virtual reality, robot navigation, military aiming, TV editing, medical image analysis, etc., so it has important use value and broad development prospects. For example, moving target detection has very important applications in the following aspects: [0003] First, the field of intelligent video surveillance. With the development of economy and society, intelligent video surveillance systems are not only used in traditional occasions with high security requirements such as government, military, banks, and electric power, but also begin to serve people's daily life safety, such as commun...

Claims

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Application Information

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IPC IPC(8): G06T7/20
Inventor 刘渭滨户磊邱亚钦崇信毅邢薇薇李波
Owner BEIJING JIAOTONG UNIV
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