Distributed Multi-sensor Multi-target Tracking with Random Sets II

摘要：

An approach for distributed multi-sensor multi-target tracking with random sets is introduced. For each sensor, probability hypotheses density filter is employed to obtain a state estimate set, then, weighted tracks association is used to correlate the state estimates. Experiments show this approach to be able to estimate both the number of tracked objects, as well as the states of the objects, robustly from noisy observations.

作者: ShuRong Tian You He XiaoShu Sun

作者单位: Research Institute of Applied Mathematics, Naval Aeronautical Engineering Institute, Yantai, China, Research Institute of Information Fusion, Naval Aeronautical Engineering Institute, Yantai, China, 2 Department of science and Research, Naval Aeronautical Engineering Institute, Yantai, China, 264001

会议类型: 国际会议

会议名称: 2007年第三届语义和知识网格国际会议(Third International Conference on Semantics,Knowledge,and Grid)(SKG 2007)

会议地点: 西安

会议语种:英文

在线出版日期: 2007-10-29（万方平台首次上网日期，不代表论文的发表时间）