基于随机集的多目标跟踪算法的性能评估  

Performance Evaluation of Random Sets Based Multi-Target Tracking Algorithm

作　　者：田淑荣[1] 何友[1] 孙校书[1] 

机构地区：[1]海军航空工程学院,信息融合技术研究所,山东,烟台,264001 海军航空工程学院,信息融合技术研究所,山东,烟台,264001 海军航空工程学院,科研部,山东,烟台,264001

出　　处：《海军航空工程学院学报》2007年第6期641-643,692,共4页Journal of Naval Aeronautical and Astronautical University

基　　金：国家自然科学基金资助项目(批准号:60172033)

摘　　要：给出在目标数变化情况下,利用随机集实现多目标跟踪算法性能评估方法,利用Kullback-Leibler距离度量算法来反映目标状态的信息量并进行了相应的仿真实验.实验表明,算法可稳健跟踪变目标数情况,Kullback-Leibler测度可反映算法的稳健性.This paper is concerned with the performance evaluation of multi-target tracking with random sets when the number of targets varying with time.Kullback-Leibler entropy is used to measure the algorithm’s instantaneous,over-all competence in estimating the number and state of the targets,relative to complete knowledge about ground truth.Simulations show that the algorithm can track various number multi-target robustly,and Kullback-Leibler measure can reflect the robustness of the algorithm.

关 键 词：性能评估 多目标跟踪 随机集 Kullback-Leibler测度 

分 类 号：TN911.1[电子电信—通信与信息系统]