Application for detecting and tracking infrared weak object under complicated background

A technology of weak target detection and complex background, applied in the application field of infrared weak target detection and tracking, can solve problems such as improving the difficulty of target tracking, and achieve the effect of suppressing clutter

Inactive Publication Date: 2014-05-21
NANCHANG HANGKONG UNIVERSITY
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AI Technical Summary

Problems solved by technology

[0008] The existence of false targets, as well as the phenomenon of target occlusion, intersect

Method used

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  • Application for detecting and tracking infrared weak object under complicated background
  • Application for detecting and tracking infrared weak object under complicated background
  • Application for detecting and tracking infrared weak object under complicated background

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Embodiment Construction

[0029] The present invention adopts such as figure 2 The specific implementation steps of the infrared weak target detection and tracking technical scheme under the complex background shown are as follows:

[0030] (1) Visual fixation reflects the position of the location where the intensity of the element map changes sharply, its geometric distribution and organizational structure, as well as the direction of the normal line of the element, the depth of each point from the observer, the discontinuous point on the depth, and the direction of the surface normal discontinuities on the . The neuron receptive field uses a Gaussian-exponential model to describe the central area, peripheral area, and large-scale disinhibition area of ​​the traditional receptive field of ganglion cells through concentrically overlapping and differently sized deformation areas. The Gaussian model expresses the central area and the peripheral area in turn. , the exponential model describes the la...

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Abstract

The invention discloses an application for detecting and tracking an infrared weak object under a complicated background. The application is characterized by comprising the following steps of: 1. suppressing clutters and keeping the topological structure of an image, and constructing a bionic vision weighted entropy model with an adjacent airspace and a preferred direction to realize conversion for the image from a grey mode to an entropy model; 2. analysing the movement state of the weak object with burst and stationary characteristics, and constructing a self-adaptive entropy flow target movement estimation model meeting the maneuvering features of the weak object by virtue of the nonlinear diffusion smoothing and self-adaptive local restriction criterion of an entropy flow to realize the approximation of an estimation speed to the real movement state of the weak object; 3. searching a weak object tracking method adopting generic multi-feature and measurement, and constructing a multi-feature fused sequential filter model to realize accurate, robust and real-time identification for the weak object. The invention discloses a self-adaptive entropy flow detection and tracking algorithm for the infrared weak object, and enriches a detection and tracking technology for the weak object.

Description

technical field [0001] The invention relates to the field of infrared image preprocessing technology, analysis of weak target motion state, and multi-feature fusion and measurement of weak target tracking, in particular to the application of infrared weak target detection and tracking under complex backgrounds. Background technique [0002] The background technology of the present invention involves three key steps and methods: image preprocessing technology for maintaining topology, analysis of target motion state for sudden or steady characteristics, and target tracking method for similar multi-feature fusion and measurement. [0003] Infrared image preprocessing technology that preserves topology: [0004] The presence of clutter and noise increases the difficulty of weak target detection. The spatial filtering method is used to suppress the background and noise, and the topological structure of the image will change. Research on the suppression method of clutter and ...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06T7/20
Inventor 王忠华廖建华涂颖廖远刘清平邓承志陈银军
Owner NANCHANG HANGKONG UNIVERSITY
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