A spatio-temporal graph attention association model for simulated multitarget tracking
A simulation-based study of a spatio-temporal association model that combines an LSTM trajectory encoder, graph attention-based spatial context aggregation, a weighted binary association loss, a motion-prediction auxiliary head, distance-gated candidate generation, and global oneto-one online assignment finds the learn...