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

针对红外目标跟踪问题,提出一种混合观测模型以描述日标像素灰度的渐变以及目标的突然消失或复现,采用在线EM算法对观测模型参数进行更新;将自适应观测模型与交互多模型粒子滤波相结合用于目标跟踪;基于概率排斥原则改进了似然函数,将上述算法推广到多目标跟踪领域.单目标和多目标跟踪仿真结果验证了所提算法的有效性.

Infrared Maneuvering Target Tracking Based on IMM-PF with Adaptive Observation Model

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 exclusio...