ViSAR-based anomalous change detection and tracking method

A technology of change detection and abnormality, applied in image data processing, instrumentation, computing, etc., can solve problems such as slow segmentation speed, low local correlation, local optimization, etc., and achieve the effect of solving defocusing

Inactive Publication Date: 2015-01-28
CHINA ELECTRONICS TECH GRP CORP NO 14 RES INST
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Problems solved by technology

This segmentation method has high segmentation accuracy, but the segmentation speed is slow, and because the segmentation is an artificial target, the local correlation is not high, so this algorithm is likely to fall into local optimization

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  • ViSAR-based anomalous change detection and tracking method
  • ViSAR-based anomalous change detection and tracking method
  • ViSAR-based anomalous change detection and tracking method

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Embodiment Construction

[0029] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0030] figure 1 and figure 2 It is a screenshot of ViSAR video, from figure 1 It can be seen from the figure that this is a traffic light intersection. When the light is red, the vehicle stops and can be imaged, but when the light is green ( figure 2 ), the vehicle is defocused, but the shadow feature of the target has been relatively stable, so the shadow can be extracted and used as target information.

[0031] like image 3 , 4 As shown, the present invention provides a method for detection and tracking of abnormal changes based on ViSAR, comprising the following steps:

[0032] Step 1: Object Detection

[0033] Use the first three frames of the video to subtract the upper and lower frames to obtain two subtracted images, compare the absolute values ​​of all points in the two images with the set threshold T0, and the values ​​of the corresponding p...

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Abstract

The invention relates to a ViSAR-based anomalous change detection and tracking method. The ViSAR-based anomalous change detection and tracking method comprises the first step of target detection, wherein a foreground image and a background image are determined through the method of subtraction of a previous frame and a next frame of original three frames of an image of a video, a background region and a motion region are determined after setting of the foreground image and the background image of the image is completed, the motion region is demarcated as a target, position information and a statistical histogram of the demarcated target serve as the features of the demarcated target, the demarcated target and the position information and the statistical histogram which are carried by the demarcated target are brought into a next frame, and the second step is executed; the second step of target tracking and positioning; the third step of target anomalous change detection, namely dynamic sequence modeling. By the adoption of the ViSAR-based anomalous change detection and tracking method, monitoring equipment is not affected by weather conditions such as sunlight, cloud and mist, rainstorm and haze; the problems of defocusing and target blurring of SAR imaging are solved through a special algorithm.

Description

technical field [0001] The invention relates to an abnormal change detection and tracking method, in particular to a ViSAR-based abnormal change detection and tracking method. Background technique [0002] ViSAR imaging is not affected by harsh weather such as light, cloud, rain, haze, etc., and can provide observations in the ViSAR field of view around the clock. If ViSAR imaging is used as the monitoring of airports or transportation hubs, it will have a more robust security and anti-terrorism effect than conventional monitoring. [0003] This project introduces dynamic image sequence modeling and classification into the tracking and analysis of multi-temporal ViSAR image abnormal change detection, studies how to classify and quantitatively describe ViSAR images in complex scenes, and uses the subject frame difference model to represent image change information as The state of multi-temporal image changes, and calculate the probability between states, as the hidden state ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/20
CPCG06T7/292G06T7/251
Inventor 尹奎英金林
Owner CHINA ELECTRONICS TECH GRP CORP NO 14 RES INST
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