红外技术2026，Vol.48Issue(4)：503-507,5.
基于记忆检查的无人机航拍视频多目标跟踪算法
Multi-Object Tracking Algorithm for UAV Aerial Videos Based on Memory Checking
赵斌 1韩毅博 1花文波1
作者信息
- 1. 中航工业西安航空计算技术研究所,陕西 西安 710065
- 折叠
摘要
Abstract
To address the severe performance degradation of multi-object tracking algorithms in UAV aerial video caused by motion blur and inter-object occlusion,this study proposes a multi-object tracking method based on a memory checking mechanism.A memory checking module is designed to recover lost trajectories by leveraging historical trajectory information to assist current-frame detection.This approach significantly improves tracking stability and reduces issues such as identity skipping,trajectory interruption,and target loss.In addition,a lightweight HRNetv2 is adopted as the backbone network for feature extraction,thereby reducing the number of model parameters and improving inference speed.Experimental results show that the proposed algorithm significantly improves the stability of multi-object tracking in UAV aerial video and effectively mitigates trajectory interruption and identity switching.关键词
多目标跟踪/无人机航拍视频/记忆检查模块/HRNetv2Key words
multi-object tracking/UAV aerial videos/memory check module/HRNetv2分类
信息技术与安全科学引用本文复制引用
赵斌,韩毅博,花文波..基于记忆检查的无人机航拍视频多目标跟踪算法[J].红外技术,2026,48(4):503-507,5.
