现代电子技术2024，Vol.47Issue(12)：57-61,5.DOI:10.16652/j.issn.1004-373x.2024.12.010
基于改进YOLOV7的变规模网络重叠区域多目标跟踪方法
Method of improved YOLOV7 based multitarget tracking for overlapping regions in variable scale networks
摘要
Abstract
In practical scenarios,there is often overlap or partial occlusion between targets.If effective multitarget detection is not carried out to understand the node status in the overlapping area of the variable scale network,it will lead to a decrease in target tracking accuracy.Therefore,an improved YOLOV7 based multi target tracking method for the overlapping area of the variable scale network is proposed.The improved YOLOV7 is used to detect multiple targets in overlapping areas of the variable scale network.On the basis of target detection,multi target trajectory features are extracted.Multitarget tracking for overlapping areas in the variable scale network is realized based on the extracted multitarget trajectory features,and the given speed,direction,and distance of the targets.The experimental results show that the proposed method has a tracking accuracy of up to 98%,and the Manhattan distance is significantly smaller than that of the comparison method,only between 0.1 and-0.1,which has better performance and practicality.关键词
多目标跟踪/重叠区域/YOLOV7/多目标检测/轨迹特征提取/曼哈顿距离Key words
multitarget tracking/overlapping regions/YOLOV7/multitarget detection/trajectory feature extraction/Manhattan distance分类
信息技术与安全科学引用本文复制引用
王博,柴锐..基于改进YOLOV7的变规模网络重叠区域多目标跟踪方法[J].现代电子技术,2024,47(12):57-61,5.基金项目
山西省科技厅一般面上项目:基于视觉辅助计算的多模态CT联合SPECT功能成像分析对肾脏占位病变的诊断价值研究(20210302123033) （20210302123033）
