Neural Enhanced Belief Propagation for Data Association in Multiobject Tracking. (arXiv:2203.09948v3 [cs.CV] UPDATED)

Web: http://arxiv.org/abs/2203.09948

Situation-aware technologies enabled by multiobject tracking (MOT) methods
will create new services and applications in fields such as autonomous
navigation and applied ocean sciences. Belief propagation (BP) is a
state-of-the-art method for Bayesian MOT but fully relies on a statistical
model and preprocessed sensor measurements. In this paper, we establish a
hybrid method for model-based and data-driven MOT. The proposed neural enhanced
belief propagation (NEBP) approach complements BP by information learned from
raw sensor data with the goal to improve …

arxiv belief cv data neural tracking