一种复杂海空背景下的红外小目标检测跟踪算法  

A Detecting and Tracking Algorithm for the Infrared Small Targets Under the Complex Sea-Sky Background

作　　者：王翔[1] WANG Xiang(Huazhong Institute of Electro-Optics—Wuhan National Laboratory for Optoelectronics,Wuhan 430223,China)

机构地区：[1]华中光电技术研究所-武汉光电国家研究中心,湖北武汉430223

出　　处：《光学与光电技术》2022年第2期113-119,共7页Optics & Optoelectronic Technology

摘　　要：复杂海空背景下红外小目标检测和跟踪算法决定了光电跟踪设备的探测性能。为了解决复杂海空背景下的红外小目标检测跟踪难题,提出了一种复杂海空背景下的红外小目标抗干扰检测跟踪算法。在检测阶段,为了抑制不同区域中各类杂波,该算法利用不同的分类器分别区分不同区域的杂波和小目标;在跟踪阶段,为了进一步剔除孤立噪声和杂波干扰,采用高斯混合概率假设密度滤波器进行目标航迹维持。在仿真视频上进行的目标检测跟踪实验表明,所提算法相比以往的跟踪算法,正确跟踪率提升了约10%,平均跟踪精度提升了约50%。该算法具有较好的工程可行性。In order to solve the problem of detecting and tracking small infrared targets under the complex sea-sky background,a detection and tracking algorithm for the small infrared targets under the complex sea-sky background is proposed in this paper. In the detection stage,in order to suppress all kinds of clutter in different regions,the algorithm uses different classifiers to distinguish the clutter and small targets in different regions. In the tracking phase,in order to further eliminate isolated noise and clutter interference,the Gaussian mixture probability hypothesis density filter is adopted to track the target. Detecting and tracking experiments on the simulation video show that the proposed algorithm performances better than the previous algorithms,that improves the correct tracking rate about 10%,and the tracking precision about 50%on average. The algorithm has good engineering feasibility.

关 键 词：海空背景 红外小目标 目标检测 目标跟踪 抗干扰 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]