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Method for detecting and tracking infrared small target in complex background

A technology for complex backgrounds and small targets, which is applied in the detection and tracking of small infrared targets, can solve problems such as tracking failure, unstable illumination, and inability to obtain tracking effects, so as to eliminate noise interference, narrow the solution space, and avoid tracking inaccuracies. The effect of stabilizing the problem

Inactive Publication Date: 2011-06-22
NORTHWESTERN POLYTECHNICAL UNIV
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Problems solved by technology

Gray-scale distribution description is a relatively robust target description strategy, which can reduce the impact of partial occlusion, rotation and deformation of the target on the tracking algorithm, but the tracking robustness of using a single gray-scale feature is not high, when the target and the background When the gray distribution is relatively similar, or the lighting is unstable, it often leads to tracking failure
[0005] The signal-to-noise ratio of infrared images in the complex background is low, the noise interference is large, and the contrast between the target and the background is low, which makes the detection of weak targets difficult; in the complex background, different features contribute differently to different scenes, so a single feature representation Targets are often not tracked well

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Embodiment Construction

[0031] Now in conjunction with embodiment, accompanying drawing, the present invention will be further described:

[0032] Step 1: Region of interest extraction based on weighted information entropy:

[0033] (1) Divide an M×N size image into m×n size sub-image blocks to obtain a sub-image block set F(u, v), where: m=2 k , n=2 l , 1≤k≤4, 1≤l≤4, 0≤u≤M / m-1, 0≤v≤N / n-1, here we take k=l=3;

[0034] (2) For each image F(i, j) in the sub-image block set F(u, v), use the formula Calculate its variance weighted information entropy H(i, j), get the entropy image of size M / (m-1)×N / (n-1), and calculate the mean value μ and variance δ of the entropy image. Among them: 0≤i≤M / m-1, 0≤j≤N / n-1, s represents the gray value, s∈[0, 255], p s Indicates the probability corresponding to each gray level, Indicates the average gray value of the infrared image, when p s = 0, let p s *log(p s )=0;

[0035] (3) H(t, r)=max{H(u, v)} represents the maximum entropy value in the entropy image obta...

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Abstract

The invention relates to a method for detecting and tracking an infrared small target in a complex background. In consideration of problems of low SNR (Signal Noise Ratio), great noise and instability of tracking based on single feature of an infrared image, the method provided by the invention comprises the following steps of: firstly, extracting an interested target region as a detection result by using variance weighted comentropy, creating a target template according to gray level and textural features, and implementing the aim of tracking the infrared small target through Mean Shift algorithm. With the method, the problem of instability of tracking based on single feature in complex background is effectively avoided, and the availability of the method is checked in tracking experiments of a plurality of infrared video sequences.

Description

technical field [0001] The invention relates to an infrared image processing method, in particular to a method for detecting and tracking infrared weak and small targets. Background technique [0002] The detection and tracking of infrared targets is a core technology in infrared search and track systems, precision guidance systems, and infrared early warning systems. However, due to the small imaging area of ​​the target at a long distance, low contrast, blurred edges, variable size and shape, the detectable signal is relatively weak, especially under the interference of non-stationary and complex backgrounds, the background and the target often overlap. The signal-to-noise ratio of imaging is low, which makes it difficult to detect and track small infrared targets in complex backgrounds. [0003] For the detection and tracking of weak and small targets in sequence images, the relevant technologies involved mainly include three aspects: image preprocessing, target detectio...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/20
Inventor 李映梁石张艳宁
Owner NORTHWESTERN POLYTECHNICAL UNIV
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