电子学报2011，Vol.39Issue(3)：602-608,7.
基于自适应观测模型交互多模型粒子滤波的红外机动目标跟踪
Infrared Maneuvering Target Tracking Based on IMM-PF with Adaptive Observation Model
摘要
Abstract
For the problem of infrared target tracking, we propose a mixture observation model, which can describe both the gradual intensity variation and sudden disappearance of target pixels,and use an online EM algorithm to update the model parameters. The proposed adaptive observation model is incorporated with the interacting multiple model particle filter (IMM-PF) for target tracking. Finally, we extend the algorithm to multiple targets tracking by introducing a likelihood function based on the probabilistic exclusion principle. Experimental and simulation results demonstrate the robustness of our algorithm.关键词
自适应观测模型/交互多模型/粒子滤波/目标跟踪Key words
adaptive observation model/ interacting multiple model/ particle filter/ target tracking分类
信息技术与安全科学引用本文复制引用
万九卿,梁旭,马志峰..基于自适应观测模型交互多模型粒子滤波的红外机动目标跟踪[J].电子学报,2011,39(3):602-608,7.基金项目
教育部博士点(No.200800061020) （No.200800061020）
