Non-Ellipsoidal Infrared Group/Extended Target Tracking Based on Poisson Multi-Bernoulli Mixture Filter and B-Spline

This study provides a solution for multiple group/extended target tracking with an arbitrary shape. Many approaches extended/group targets have been proposed. However, these make assumptions about the shape, which limitations in practical applications. To address this problem, work, algorithm based on B-spline is Specifically, extension of extended or group was modeled as spatial probability distribution characterized by control points function that then jointly propagated measurement rate model and kinematic component over time using Poisson multi-Bernoulli mixture (PMBM) filter framework. In addition, amplitude-aided partitioning approach proposed to improve accuracy caused distance-based approaches. The simulation results demonstrate extension, shape orientation can be estimated better algorithm, even if changes. performance also improved 10% 13% compared other two algorithms.