工矿自动化2025，Vol.51Issue(2)：65-75,137,12.DOI:10.13272/j.issn.1671-251x.2024110022
基于自适应链接优化的井下行人抗遮挡跟踪方法研究
Research on anti-occlusion tracking method for underground mine personnel based on adaptive link optimization
摘要
Abstract
To address the issue of inaccurate trajectory matching caused by frequent occlusions and appearance confusion of underground mine personnel in coal mines,an anti-occlusion tracking method for underground mine personnel based on adaptive link optimization was proposed.Firstly,occlusion detection of the targets was performed based on the target confidence change rate and intersection-over-union(IoU)calculation to identify potential occluded targets.Secondly,in the matching cascade stage,nonlinear dynamic features of potential occluded targets were introduced,and historical trajectory information was incorporated to expand the trajectory pair input for the trajectory link optimization module.Additionally,after performing time-domain block processing on the trajectory pair input,a channel prior convolutional attention mechanism was added to enhance the time-domain representation capability.After compression and fusion processing of the trajectory pair input vectors,a trajectory similarity score was output by the multilayer perceptron.This score was combined with the total cost function of the Kalman filter in the original matching cascade stage to optimize matching decisions,effectively alleviating the issue of incorrect matching during the trajectory matching process.Finally,in the IoU matching stage,an adaptive RB factor was introduced by calculating the variations in fracture rate and ID switch rate to construct a feedback mechanism.This mechanism dynamically adjusted the IoU threshold in the matching decision to address trajectory fragmentation caused by long-term occlusion.Comparative experiments were conducted on typical video sequences from underground coal mines using the proposed method,DeepSORT,YOLOv7-SAM,OSNet,and FuCoLoT.The results showed that the proposed method achieved the multiple object tracking accuracy(MOTA)of 76.17%,the multiple object tracking precision(MOTP)of 84.13%,and the identity F1(IDF1)of 74.9%.Compared to DeepSORT,these values improved by 14.9%,1.83%,and 10.93%,respectively.Compared to YOLOv7-SAM,they improved by 1.57%,0.4%,and 0.37%,respectively.Compared to OSNet,they improved by 2.83%,0.77%,and 1.27%,respectively.Compared to FuCoLoT,they improved by 2.5%,0.08%,and 1.8%,respectively.This demonstrates that the proposed method can effectively address the issue of tracking mismatches in occlusion scenarios in underground coal mine targets.关键词
井下人员跟踪/多目标跟踪/目标遮挡/跟踪误匹配/轨迹链接优化/轨迹断裂Key words
underground mine personnel tracking/multiple target tracking/target occlusion/tracking mismatch/trajectory link optimization/trajectory fragmentation分类
矿山工程引用本文复制引用
路洋,董立红,叶鸥..基于自适应链接优化的井下行人抗遮挡跟踪方法研究[J].工矿自动化,2025,51(2):65-75,137,12.基金项目
国家自然科学基金青年项目(62303375). （62303375）
