测控技术2024，Vol.43Issue(6)：26-32,7.DOI:10.19708/j.ckjs.2023.12.270
一种基于无人机云台的视觉目标跟踪方法
Visual Object Tracking System Based on UAV PTZ
摘要
Abstract
Considering the issues of target occlusion and target scale changes encountered in UAV visual target tracking,and the complexity of the target tracking method that is strictly limited by the computing power of the UAV PTZ chip,a visual target tracking method based on UAV PTZ is proposed.Adaptive weight fusion based on multiple feature correlation filters is used to improve the accuracy of target position prediction.A scale change pool strategy with independent changes in length and width is introduced to solve the problem of target scale estimation in UAV target tracking.The occlusion status during the target tracking process is effectively detected and processed by setting up template detection and trajectory prediction modules.This method can a-chieve real-time performance in UAV PTZ chip,and achieved good performance in both public UAV target tracking datasets and self collected datasets.Compared with the baseline method,the method improves the suc-cess rate by 10.7％and improves the accuracy by 3％.关键词
无人机目标跟踪/相关滤波器/尺度变化/目标遮挡处理Key words
UAV target tracking/correlation filter/scale change/target occlusion processing分类
计算机与自动化引用本文复制引用
罗伟,陈玮..一种基于无人机云台的视觉目标跟踪方法[J].测控技术,2024,43(6):26-32,7.基金项目
国家重点研发计划(2020YFC1911600) （2020YFC1911600）
