红外技术2024，Vol.46Issue(7)：743-753,11.
基于GLMB滤波的复杂场景下红外弱小目标自适应跟踪算法
An Adaptive Tracking Algorithm for Infrared Dim Small Targets in Complex Scenes Based on GLMB Filter
摘要
Abstract
In this study,we propose a robust adaptive tracking algorithm for infrared dim objects that addresses the problem of tracking discontinuities and failures caused by missed detections and clutter in complex scenes.In the pre-processing stage,an algorithm that measures the image complexity eliminates unnecessary calculations.This algorithm determines the scene type by calculating multiple features of the infrared image to obtain the scene complexity,and then selects the corresponding detection algorithm to extract the target candidate location,grayscale and local histogram features.Subsequently,a measurement model and likelihood function are established based on the scene type.In the tracking stage,to flexibly match the filtering parameters of the generalized labeled multi-Bernoulli(GLMB)filter,an adaptive algorithm suitable for video image distribution is proposed for track initiation.Aiming at the unknown detection probability of an infrared image sequence,a cardinality probability hypothesis density(CPHD)filter was integrated into the GLMB to estimate the detection probability of the target in real time,thereby improving the accuracy of the tracker.The simulation results show that the proposed algorithm can effectively track small infrared objects in different complex scenarios.关键词
红外弱小目标/广义标签多伯努利滤波/自适应跟踪/复杂场景Key words
infrared dim objects/GLMB/adaptive tracking/complex scenario分类
电子信息工程引用本文复制引用
蔡如华,周健斌,吴孙勇,郑翔飞..基于GLMB滤波的复杂场景下红外弱小目标自适应跟踪算法[J].红外技术,2024,46(7):743-753,11.基金项目
桂林电子科技大学研究生教育创新计划资助项目(2022YCXS145) （2022YCXS145）
国家自然科学基金(地区科学基金项目,62263007). （地区科学基金项目,62263007）
