基于形态学与遗传粒子滤波器的红外小目标检测与跟踪算法

王玲玲; 辛云宏

doi:doi:10.3788/gzxb20134207.0849

光子学报, 2013, 42 (7): 849, 网络出版: 2013-07-16

基于形态学与遗传粒子滤波器的红外小目标检测与跟踪算法

A Small IR Target Detection and Tracking Algorithm Based on Morphological and Genetic-particle Filter

论文大纲

王玲玲 ^*辛云宏

作者单位

陕西师范大学物理学与信息技术学院，西安 710062

摘要

针对复杂背景下红外小目标的检测与跟踪，提出了一种融合了top-hat算法、遗传算法以及粒子滤波器的新方法.该方法首先采用提取副帧的方法去除目标周围部分的背景和噪音，有效地减少了参与运算的像素数目；其次，将具有不同边缘特性的多个结构体应用于top-hat检测算法中，提高了副帧中预目标的有效性；接着，利用目标时空运动的相关性，结合阈值判断来去除虚假目标，增强了目标检测的可靠性；最后，将遗传算法引入粒子滤波算法，较好地改善了粒子的多样性，在保障跟踪实时性的同时，提高了粒子滤波的准确度.实验结果表明，该算法在检测准确度、跟踪准确度和鲁棒性都具有一定的优越性.

Abstract

Aiming at small IR target dectection and tracking in complex background, a method based on the top-hat detection algorithm, genetic algorithm and particle filter is presented. Firstly, a sub-frame extracting method is used for the removal of the background and noise around target, which effectively reduces the number of pixels participating in operation; secondly, a few structures with different edge characteristics are introduced in the top-hat algorithm, which greatly improve the efficient for the detection of the pre-target from sub-frame; thirdly, based on the correlation of target movement in time and space domain, a threshold judgment technology is used to remove the false targets; finally, the genetic algorithm is introduced into the particle filtering to enhance the diversity of particles, which can effectively improve the real-time and the precision of target tracking. The experimental results show that the presented algorithm has obvious superiority in detection correctness and tracking accuracy and robustness.

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王玲玲, 辛云宏. 基于形态学与遗传粒子滤波器的红外小目标检测与跟踪算法[J]. 光子学报, 2013, 42(7): 849. WANG Ling-ling, XIN Yun-hong. A Small IR Target Detection and Tracking Algorithm Based on Morphological and Genetic-particle Filter[J]. ACTA PHOTONICA SINICA, 2013, 42(7): 849.

基于形态学与遗传粒子滤波器的红外小目标检测与跟踪算法

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