农机使用与维修Issue(6)：7-10,4.DOI:10.14031/j.cnki.njwx.2026.06.002
基于PK-ByteTrack目标跟踪算法在无人机探测与跟踪中的应用
Application of PK-ByteTrack object tracking algorithm in UAV detection and tracking
李沙1
作者信息
- 1. 山西通用航空职业技术学院,山西 大同 037000
- 折叠
摘要
Abstract
To improve the tracking accuracy and stability of unmanned aerial vehicles(UAVs)in complex infrared sce-narios,this paper proposes an improved target tracking algorithm named PK-ByteTrack.The algorithm employs the more accurate PCCS-YOLOv8 detector and optimizes the state vector and noise model of the Kalman filter.Research re-sults show that the PK-ByteTrack algorithm improves the MOTA by an average of 3.8%and reduces the IDSW by an average of 22.6%,with superior performance in FP and FN control compared with other algorithms.While maintaining real-time processing capability,the algorithm significantly enhances the tracking robustness and trajectory continuity for UAV targets in complex scenarios.关键词
无人机目标跟踪/ByteTrack/卡尔曼滤波/多目标跟踪Key words
UAV target tracking/ByteTrack/Kalman filtering/multi-object tracking分类
航空航天引用本文复制引用
李沙..基于PK-ByteTrack目标跟踪算法在无人机探测与跟踪中的应用[J].农机使用与维修,2026,(6):7-10,4.
