Joint Detection and Embedding for fast multi-object tracking
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Updated
Dec 29, 2021 - Python
Joint Detection and Embedding for fast multi-object tracking
[NeurIPS'21] Unified tracking framework with a single appearance model. It supports Single Object Tracking (SOT), Video Object Segmentation (VOS), Multi-Object Tracking (MOT), Multi-Object Tracking and Segmentation (MOTS), Pose Tracking, Video Instance Segmentation (VIS), and class-agnostic MOT (e.g. TAO dataset).
AutoTrackAnything is a universal, flexible and interactive tool for insane automatic object tracking over thousands of frames. It is developed upon XMem, Yolov8 and MobileSAM (Segment Anything), can track anything which detect Yolov8.
Multi-object tracking using a tracking-by-detection scheme with YOLO-NAS + DeepSORT.
AdapTrack: Adaptive Thresholding-Based Matching For Multi-Object Tracking
A Confidence-Aware Matching Strategy For Generalized Multi-Object Tracking
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