For any two trajectories with ambiguous detections, the Gplus term adds a positive penalty proportional to their Laplacian distance, preventing spurious label flips.
Standard MOT solves: [ \max_\mathbfX \sum_i,j S_ij x_ij \quad \texts.t. flow conservation constraints, ] which is a min-cost flow / assignment problem. This becomes intractable for dense scenes. poly track gplus
Poly Track Gplus: A Polynomial-Time Multi-Hypothesis Tracking Framework with Graph-Positive Laplacian Regularization for Dense Multi-Object Scenarios For any two trajectories with ambiguous detections, the