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Moving target detecting method based on differential fusion and image edge information

A technology for image edges and moving objects, applied in the field of detection, can solve the problems of recognition rate and false detection rate decline

Inactive Publication Date: 2011-09-14
UNIV OF SHANGHAI FOR SCI & TECH
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AI Technical Summary

Problems solved by technology

However, in the case of sudden changes in the environment, especially when the light changes, the recognition rate and false detection rate will drop sharply.

Method used

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  • Moving target detecting method based on differential fusion and image edge information
  • Moving target detecting method based on differential fusion and image edge information
  • Moving target detecting method based on differential fusion and image edge information

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Embodiment Construction

[0028] The present invention is realized through the following technical solutions, first extracting 5 frames of video images for preprocessing, and performing edge extraction on 5 frames of images to obtain 5 frames of continuous edge images, and then using the unit8 data format to respectively perform these 5 frames of continuous edge images The inter-frame difference operation is performed, and the background difference operation is performed on the intermediate frame image, and then the detection results of the two differences are fused, and then the moving pedestrian target is initially extracted. In the background difference, the method of automatically extracting the background is improved, and a background image extraction and updating method based on 5 consecutive edge images is proposed. Then, the dynamic threshold based on the adaptive background model is used to extract the moving target area in the image, and the morphological filtering and connectivity detection a...

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Abstract

The invention relates to a moving target detecting method based on differential fusion and image edge information. The method comprises the following steps of: extracting a video image for preprocessing, and extracting the edge of the image to acquire continuous edge images; performing inter-frame differential operation on the continuous edge images respectively in a unit 8 data format, and performing background differential operation on the image in an intermediate frame; and fusing the detecting results of two differences to primarily extract a moving pedestrian target. In a background difference, a background automatic extracting method is improved, and a continuous-edge-image-based background image extracting and updating method is provided. A moving target area in the image is extracted by using an adaptive-background-model-based dynamic threshold value, and morphologic filtering and connectivity detection are performed, so that the foreground target of a moving pedestrian is acquired. Under the complex condition of sudden light variation, a moving target can be accurately and reliably detected, and the method is superior to the three traditional methods in the two aspects ofan identification rate and an error detection rate.

Description

technical field [0001] The invention relates to a detection method, in particular to a moving target detection method based on differential fusion and image edge information. Background technique [0002] In recent years, moving target detection of video surveillance images has been a very active research direction. It is at the bottom of visual surveillance and is the basis of various follow-up processing such as target classification and behavior analysis and understanding. Virtual reality and other aspects have a wide range of application prospects. [0003] Moving object detection refers to extracting the moving foreground object from the background image from the sequence image. Its task is to remove the static background area from the scene sequence image, find out the moving foreground area, and suppress the background noise and the foreground noise as much as possible. The rich original data in sequence images and videos, the strong correlation between adjacent fra...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/20G06T5/40
Inventor 郝毫刚陈家琪程严
Owner UNIV OF SHANGHAI FOR SCI & TECH
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