We presented , a polynomial-time MOT framework with graph-positive Laplacian regularization. PTG+ balances efficiency and accuracy, especially in dense scenes. Future work includes extending to online learning of (\epsilon) and integration with transformer-based detectors.
While the Google+ gaming platform is long gone, the spirit of those games is alive and well in 2024. The latest proof? . poly track gplus
Proof sketch: (\mathbfY^T \mathbfL \textgplus \mathbfY = \sum (i,j) \in \mathcalE w_ij | \mathbfy_i - \mathbfy_j |^2 + \epsilon |\mathbfY|_F^2). Minimizing this encourages neighboring detections to have similar assignment vectors unless strongly supported by affinity. We presented , a polynomial-time MOT framework with