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A Particle Filter Infrared Tracking Method Fused with Gradient Feature and Adaptive Template

An adaptive template and gradient feature technology, applied in the field of image processing, can solve problems such as restricting the performance of tracking algorithms, target occlusion, and poor real-time performance of particle filter algorithms, so as to ensure the real-time performance of algorithms, improve tracking accuracy, and enhance tracking robustness. Effect

Active Publication Date: 2018-06-12
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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  • A Particle Filter Infrared Tracking Method Fused with Gradient Feature and Adaptive Template
  • A Particle Filter Infrared Tracking Method Fused with Gradient Feature and Adaptive Template
  • A Particle Filter Infrared Tracking Method Fused with Gradient Feature and Adaptive Template

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Embodiment 1

[0074] Such as 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]

[0079]

[0080] A...

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Abstract

The invention discloses a particle filter infrared tracking method that combines gradient features and self-adaptive templates. The steps are as follows: first, the particle filter algorithm is used as the main frame of the infrared image tracking algorithm; The gradient histogram of the target is used as the target observation model; again, the adaptive template update strategy is integrated in the tracking algorithm to update the target feature template; finally, in order to improve the real-time performance of the algorithm, the tracking program is parallelized with the help of a shared memory parallel programming library. The invention can ensure long-term stable and precise tracking of infrared targets, has high computing efficiency, and can provide theoretical support for infrared guidance 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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Patent Type & Authority Patents(China)
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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