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Particle filter infrared tracking method with fusion of gradient feature and adaptive template

An adaptive template and gradient feature technology, applied in the field of image processing, can solve problems such as target occlusion, poor real-time performance of particle filter algorithms, and restricted tracking algorithm performance.

Active Publication Date: 2016-03-09
NANJING UNIV OF SCI & TECH
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Problems solved by technology

However, problems such as less color feature information of infrared targets, poor real-time performance of particle filter algorithms, and target occlusion still restrict the performance of tracking algorithms.

Method used

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  • Particle filter infrared tracking method with fusion of gradient feature and adaptive template
  • Particle filter infrared tracking method with fusion of gradient feature and adaptive template
  • Particle filter infrared tracking method with fusion of gradient feature and adaptive template

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Embodiment 1

[0074] like figure 1 As shown in the algorithm flow chart, the particle filter infrared tracking method of the present invention, which combines gradient features and adaptive templates, has the following steps:

[0075] first step:

[0076] Read the first frame of image in the infrared video stream, manually mark the target to be tracked; obtain the gray histogram h of the target area by statistics gray and histogram of oriented gradients h og , as the initial feature template; initialize N particles, the particles have position coordinates (x, y), size information, and the weights are 1 / N.

[0077] Oriented Gradient Histogram h og The calculation process is: use horizontal and vertical Sobel operators to extract the contour information of the infrared target area, and each pixel p on the target area f(x,y) xy The corresponding gradient magnitude G(x,y) and gradient direction θ(x,y) can be obtained according to the following formula:

[0078] G ...

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Abstract

The present invention discloses a particle filter infrared tracking method with the fusion of a gradient feature and an adaptive template. The method comprises a step of taking a particle filter algorithm as the body frame of an infrared image tracking algorithm, a step of fusing the gradient histogram describing the gradient feature as a target observation model on the basis of the gradient feature, a step of fusing an adaptive template updating strategy in a tracking algorithm to update a target feature template, and a step of carrying out parallelization on a tracking program by using a sharing storage parallel programming library to improve the algorithm real-time performance. According to the method, the long-time stable and accurate tracking of an infrared target can be ensured, the operational efficiency is high, and a theoretical support is provided for infrared-guided engineering.

Description

technical field [0001] The invention belongs to the technical field of image processing, in particular to a particle filter infrared tracking method combining gradient features and self-adaptive templates. Background technique [0002] Infrared imaging guidance technology is one of the core technologies of precision guided weapons, and infrared tracking technology is a key component of infrared imaging guidance technology. Accurate, stable and fast tracking of infrared targets is an important prerequisite for real-time calculation of accurate guidance commands. [0003] At present, infrared tracking algorithms are mainly divided into top-down algorithms and bottom-up algorithms. The core idea of ​​the top-down algorithm is to convert the target tracking problem into a process of knowing the prior probability of the target state and continuously solving the maximum posterior probability of the state through new observations under the framework of Bayesian filtering. The mai...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/20G06K9/46
CPCG06T2207/10016G06T2207/10048G06V10/50
Inventor 熊舒望白宏阳胡福东苏文杰明超杨庆李成美
Owner NANJING UNIV OF SCI & TECH
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