Causal neural set filtering for online multi-target tracking
Causal Neural Set Filtering (CNSF) is proposed, a neural set filter that encodes only current measurements while carrying past evidence in a structured recursive track state that imposes soft one-to-one constraints, propagate association-induced state uncertainty, and support existence estimation under missed detection...
Zhong-Di Liu, Huang-Yu Dai
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