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Multi Object Tracking On Mot17

评估指标

MOTA

评测结果

各个模型在此基准测试上的表现结果

模型名称
MOTA
Paper TitleRepository
JBNOT52.6Multiple People Tracking using Body and Joint Detections-
SparseTrack81.0SparseTrack: Multi-Object Tracking by Performing Scene Decomposition based on Pseudo-Depth
StrongSORT79.6StrongSORT: Make DeepSORT Great Again
Fast-StrongSORT-When to Extract ReID Features: A Selective Approach for Improved Multiple Object Tracking
DEFT66.6DEFT: Detection Embeddings for Tracking
Unicorn77.2Towards Grand Unification of Object Tracking
CenterTrack + TrajE67.8Multiple Object Tracking with Mixture Density Networks for Trajectory Estimation-
CMTrack80.7A Confidence-Aware Matching Strategy For Generalized Multi-Object Tracking
BoostTrack+80.6BoostTrack: boosting the similarity measure and detection confidence for improved multiple object tracking
STGT76.7TransMOT: Spatial-Temporal Graph Transformer for Multiple Object Tracking-
Deep OC-SORT79.4Deep OC-SORT: Multi-Pedestrian Tracking by Adaptive Re-Identification
TraDeS69.1Track to Detect and Segment: An Online Multi-Object Tracker-
BoT-SORT80.5BoT-SORT: Robust Associations Multi-Pedestrian Tracking
C-TWiX78.1Learning Data Association for Multi-Object Tracking using Only Coordinates
GTR75.3Global Tracking Transformers
QDTrack68.7Quasi-Dense Similarity Learning for Multiple Object Tracking
IMM-JHSE79.54One Homography is All You Need: IMM-based Joint Homography and Multiple Object State Estimation
DeepMOT-Tracktor53.7How To Train Your Deep Multi-Object Tracker
TrackFormer74.1TrackFormer: Multi-Object Tracking with Transformers
MOTR67.4MOTR: End-to-End Multiple-Object Tracking with Transformer
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