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.
Focusing on Tracks for Online Multi-Object Tracking
🔥🔥 CVPR 2025 (Nashville TN) - The 4th Anti-UAV Workshop & Challenge 🥉
AdapTrack: Adaptive Thresholding-Based Matching For Multi-Object Tracking
A Confidence-Aware Matching Strategy For Generalized Multi-Object Tracking
Multi-object tracking using a tracking-by-detection scheme with YOLO-NAS + DeepSORT.
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