Application of Infrared Weak Target Detection and Tracking in Complex Background

A technology of weak target detection and complex background, which is applied in the application field of infrared weak target detection and tracking, and can solve problems such as improving the difficulty of target tracking.

Inactive Publication Date: 2017-04-12
NANCHANG HANGKONG UNIVERSITY
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  • Abstract
  • Description
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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, intersection, separation, appearance, and disappearance, they increase the difficulty of target tracking

Method used

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  • Application of Infrared Weak Target Detection and Tracking in Complex Background
  • Application of Infrared Weak Target Detection and Tracking in Complex Background
  • Application of Infrared Weak Target Detection and Tracking in Complex Background

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Embodiment Construction

[0028] 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:

[0029] (1) Visual gaze embodies the position, geometric distribution and organizational structure of the sharp change in the intensity of the primitive map, as well as the normal direction of the primitive, the depth of each point from the observer, the discontinuous point on the depth, and the surface normal direction 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 large-scale disinhibition zone. For the Gau...

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Abstract

The invention discloses an application of detection and tracking of weak infrared targets under complex backgrounds. The characteristic steps are: 1. Suppress clutter and maintain the topological structure of the image, construct a bionic visual weighted entropy model with spatial proximity and direction priority, and realize image Transform from grayscale mode to entropy mode; 2. Analyze the sudden or steady motion state of weak targets, and use the non-linear diffusion smoothing of entropy flow and adaptive local constraint criteria to construct adaptive entropy flow targets that conform to the maneuvering characteristics of weak targets The motion estimation model realizes the estimated speed approaching the real motion state of the weak target; 3. Researches the weak target tracking method of multi-feature fusion and measurement, constructs a sequential filtering model of multi-feature fusion, and realizes the accuracy, robustness and accuracy of weak targets real-time recognition. The invention proposes an algorithm of adaptive entropy flow detection and tracking of infrared weak targets, which enriches the technology of weak target detection and tracking.

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 no...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62G06T7/246
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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