An annotation and instance segmentation-based multiple animal tracking and behavior analysis package.
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Updated
May 25, 2024 - Jupyter Notebook
An annotation and instance segmentation-based multiple animal tracking and behavior analysis package.
BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
Gather research papers, corresponding codes (if having), reading notes and any other related materials about Hot🔥🔥🔥 fields in Computer Vision based on Deep Learning.
[ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box
SoccerNet Game State Reconstruction: End-to-End Athlete Tracking and Identification on a Minimap (CVPR24 - CVSports workshop)
A General Tracking Framework for ML-based Time-Symmetric Tracking.
yolox-bytetrack-sampleのマルチクラス拡張版
Multiple Object Tracking as ID Prediction
[ICRA2024] RaTrack: Moving Object Detection and Tracking with 4D Radar Point Cloud
Advancing Robot Person Following with Multi-Object Tracking and Dynamic ID Switching
[ICCV 2023] MeMOTR: Long-Term Memory-Augmented Transformer for Multi-Object Tracking
Revolutionizing security by detecting and tracking vehicles and individuals, enabling real-time access management with just a click.
Real-time multi-camera multi-object tracker using YOLOv7 and StrongSORT with OSNet
BAM-SORT: A state-of-the-art multi-object tracking algorithm using bottom edge cost matrix and activated trajectory matching for robust tracking in crowded and occlusion-heavy environments. Excelling in benchmarks like MOT17, MOT20, and DanceTrack.
A Tightly-Coupled System for LiDAR-Inertial Odometry and Multi-Object Tracking.
SFSORT: Scene Features-based Simple Online Real-Time Tracker
Lightweight Python library for adding real-time multi-object tracking to any detector.
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.
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