计算机工程与应用2024，Vol.60Issue(9)：151-158,8.DOI:10.3778/j.issn.1002-8331.2310-0238
基于改进YOLO v8的行李追踪技术
Baggage Tracking Technology Based on Improved YOLO v8
摘要
Abstract
In the airport baggage sorting scenario,the traditional multi-target tracking algorithm has the problems of high target ID switching rate and high false alarm rate of target trajectory.This paper presents a baggage tracking technique based on improved YOLO v8 and ByteTrack algorithms.The CBATM module is added,the ADH decoupling head is replaced and the loss function during training is changed,the detection accuracy is increased,the discrimination of target features is strengthened,and the ID switching rate of the target is reduced.GSI interpolation processing in Byte data asso-ciation,which not only uses high box and low box,but also ensures the tracking effect after a long time of occlusion,and reduces the ID error switching caused by occlusion.In the airport baggage sorting dataset,MOTA and IDF 1 reach 89.9%and 90.3%,respectively,which show a significant improvement and can steadily realize the tracking of luggage ID.关键词
机场行李分拣/多目标跟踪/基于检测的跟踪/YOLO v8/ByteTrackKey words
airport luggage sorting/multi-target tracking/detection based tracking/YOLO v8/ByteTrack分类
信息技术与安全科学引用本文复制引用
曹超,顾幸生..基于改进YOLO v8的行李追踪技术[J].计算机工程与应用,2024,60(9):151-158,8.基金项目
国家自然科学基金(61973120). （61973120）
