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Guidance infrared small target tracking method based on self-adaption manifold particle filters

A particle filter algorithm and adaptive flow technology, applied in image data processing, instrumentation, computing, etc., can solve problems such as the disaster of dimensionality, and achieve the effects of good speed, good adaptability, and high filtering accuracy

Active Publication Date: 2013-03-20
CETC NINGBO MARINE ELECTRONICS RES INST
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Problems solved by technology

[0006] Although the particle filter can be applied to all nonlinear and non-Gaussian systems, it is not limited by the nature of the noise, but the existing particle filter algorithms are all carried out in the Euclidean space. When the particle filter algorithm is used to track the high-dimensional system target, Also encounter the "curse of dimensionality" problem

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[0019] Such as figure 1 As shown, the guided infrared small target tracking method based on the adaptive manifold particle filter of the present invention comprises the following steps:

[0020] (1) Image background suppression: Apply the bidirectional diffusion filtering background suppression algorithm of the facet facet image model. First, calculate the average directional derivative gradient operator (Average Directional Derivative Gradient Operator, ADDG), and obtain the value of the ADDG operator in each direction. Among them, the coefficients needed to calculate the ADDG operator can be obtained by convolving the original image with a fixed template. Second, bidirectional diffusion filtering. The ADDG operator is used to describe the multi-directional gradient feature of the image neighborhood, and the discrete form of bidirectional diffusion filtering is used for image filtering.

[0021] (2) Small target tracking based on the adaptive manifold particle filter algori...

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Abstract

The invention discloses a guidance infrared small target tracking method based on self-adaption manifold particle filters. The method comprises a image background suppression proceeding which is achieved by using a bi-direction diffusion filter background suppression algorithm of a Facet image model, a small target tracking based on a self-adaption manifold particle filter algorithm and target detecting. The guidance infrared small target tracking method based on the self-adaption manifold particle filters has the advantages that real-time, robustness and filtering precision of the algorithm are improved.

Description

technical field [0001] The invention relates to a target tracking and detection method, in particular to a guided infrared small target tracking and detection method. The invention belongs to the fields of nonlinear filtering, infrared target image processing and target tracking. Background technique [0002] Infrared detection technology has attracted much attention due to its advantages of good concealment, all-weather work, high angular resolution, strong anti-stealth ability, long range, good reliability, and low power consumption, and is widely used in the military field, especially in Infrared imaging guidance, infrared warning and reconnaissance. [0003] In order to enable the defense system to have enough reaction time in modern high-tech warfare, it is required to be able to detect and find the target in a very far place. However, for the obtained infrared images of long-distance targets, the target imaging area is small, the pixels are low, there is no obvious o...

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Application Information

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IPC IPC(8): G06T7/20
Inventor 朱志宇张亮李阳葛慧林伍雪冬张冰王建华杨官校
Owner CETC NINGBO MARINE ELECTRONICS RES INST
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