IMM-based Multiple Object Tracking using a State Prediction Neural Network
A data-driven state PRedictor-based Interacting Multiple Model tracking method (PR-IMM) that improves nonlinear object-motion representation while preserving the stability and interpretability of physics-based motion models.
Chan-Bin Lim, Dong-Hee Paek, Seung-Hyun Kong
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