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作 者:王帅[1] 孙海江[1] 江山[1] 刘心睿[2] 徐婉莹 刘颖[1] Wang Shuai;Sun Haijiang;Jiang Shan;Liu Xinrui;Xu Wanying;Liu Ying(Changchun Institute of Optics,Fine Mechanics and Physics,Chinese Academy of Sciences,Changchun 130033,China;Department of Neurosurgery,Jilin University,Changchun 130031,China)
机构地区:[1]中国科学院长春光学精密机械与物理研究所,长春130033 [2]吉林大学神经外科,长春130031
出 处:《机电工程技术》2023年第6期263-268,共6页Mechanical & Electrical Engineering Technology
基 金:吉林省自然科学基金资助项目(20200401091GX)。
摘 要:针对嵌入式平台多目标检测与实时跟踪任务,提出基于目标特征与空间位置信息联合的多目标实时编批方法。采用板卡间目标信息交互联动方式,智能板卡负责目标检测、编批,为提升网络特征提取能力,增强检测效果,检测方法以YOLOv5网络为基础加入SimAMC3注意力机制模块。通过对检测目标的编批和编号更新,实时反馈编批目标与跟踪目标的空间位置信息,该模式改变过去传统跟踪器单一点选跟踪目标方式。综合考虑重叠面积、空间距离、长宽比、交并比等多方面因素实现目标检测与目标队伍的数据关联。实验表明,该方法在目标运动时能够快速建立目标编号并管理更新,同时能够提高跟踪系统对目标遮挡情况下的跟踪能力,对消失后目标重捕获能力得到显著提高,算法简单、易于工程实现。Aiming at the task of multi-target detection and real-time tracking on the embedded platform,a multi-target real-time batching method based on the combination of target features and spatial position information is proposed.The target information interaction and linkage method between boards is adopted,and the smart board is responsible for target detection and batching.In order to improve the network feature extraction ability and enhance the detection effect,the detection method is based on the YOLOv5 network and the SimAMC3 attention mechanism module is added.Through batching and serial number update of detected targets,real-time feedback of spatial position information of batched targets and tracked targets,this mode changes the traditional single-click tracking target mode in the past.The data association between target detection and target teams is realized by comprehensively considering multiple factors such as overlapping area,spatial distance,aspect ratio,and intersection ratio.Experiments show that this method can quickly establish the target number and manage the update when the target is moving,and at the same time can improve the tracking ability of the tracking system when the target is occluded,and the ability to recapture the target after disappearing is significantly improved.The algorithm is simple and easy to engineer.accomplish.
分 类 号:TP391.4[自动化与计算机技术—计算机应用技术]
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