摘要
研究了基于模糊交互式多模型算法解决多假设多目标跟踪中的新目标数据相关问题。使用模糊交互式多模型算法处理新目标的数据相关问题,能够提高跟踪精度、时间效率。用隶属度表示每个模型与所跟踪新目标的隶属关系,根据隶属度选择最佳的模型对新目标进行跟踪。仿真结果表明,该方法不仅能够处理新目标的数据相关,同时又能够提高算法的时间效率。
In this paper,a fuzzy interacting multiple model is developed to solve data association problem of a new target of MHT multitarget tracking.A fuzzy IMM is introduced to deal with the data association problem of a new target.This can improve the track precision and the time efficiency of the algorithm.The degree of membership is adopted to express membership relation between every model and a new target,an optimal model to tract new target is picked out by the degree of membership.The simulation results indicate that the measure can improve the time efficiency of algorithm.
出处
《计算机工程与应用》
CSCD
北大核心
2008年第10期224-226,240,共4页
Computer Engineering and Applications
基金
国家自然科学基金(the National Natural Science Foundation of China under Grant No.60472060, No.60572034)
江苏省自然科学基金(the Natural Science Foundation of Jiangsu Province of China under Grant No.BK2004058, No.BK2006081)
教育部新世纪优秀人才计划项目(New Century Training Program Foundation for the Talents of Chinese Ministry of Education)
教育部科学技术研究项目(the Research Project of the Science and Technology of Chinese Ministry of Education No.105087)
图像处理与图像通信实验室开放基金项目(No.KJS03038)
关键词
多假设跟踪
交互多模型
数据关联
模糊系统
目标跟踪
Multiple Hypothesis Tracking（MHT）
Interacting Multiple Model（IMM）
data association
fuzzy system
target tracking
