![]() The design of Graph Model can make full use of time domain information and reduce computational complexity.EG-IOU: When doing inter-frame detections association, use Epipolar Geometry to make the best prediction for the next frame detection frame, thereby optimizing the IOU algorithm.The biggest feature is that the temporal information of tracklets is fully utilized with the temporal 1D filter ![]() Multi-scale TrackletNet: Input two tracklets and output their similarity.The "tracklet-to-trajectory" process can be completed through the vertex clustering algorithm Tracklet-based Graph Model: An undirected graph with tracklets as vertices and the similarity (the decreasing function of) between two tracklets as edge weights. ![]() Its key indicators (MOTA, IDF1) perform well, and it has good anti-FN ability. Paper link: Exploit the Connectivity: Multi-Object Tracking with TrackletNet 1 OverviewĪs shown in the figure above, TNT (TrackletNet Tracker) is a tracker with excellent performance.
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