BoxMOT: Pluggable python and c++ SOTA multi-object tracking modules with support for axis-aligned and oriented bounding boxes
strongsort 开源项目推荐(17 个)
strongsort 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 全部 17
GitHub 共 17 个仓库,已全部展示Real-time multi-object tracker using YOLOv7 and StrongSORT with OSNet
PyTorch implementation of YOLOv5, YOLOv6, YOLOv7, YOLOv8, Sort, StrongSort, OcSort, ByteTrack, Norfair
Minimal PyTorch implementation of YOLOv5 and StrongSort
The combination of face identification and action recognition for fall detection (ICT Journal)
OcSort-Pip: Packaged version of the OcSort repository
Attendance Monitoring System that has a tracker, face detection, face recognition and database connectivity all integrated together. The tracker is based on Strongsort, yolov8 is used for face detection, InceptionResnet is used for face recognition and MySQL for database connectivity.
Multi-camera people tracking with cross-camera ReID association and bird's-eye-view spatial mapping. YOLOv8m + StrongSort + OSNet on EPFL Laboratory dataset — CMC@3: 90.0%
Tracker Model Hub Library
End-to-end computer-vision pipeline that detects tennis players, estimates 18-keypoint body pose, tracks them across video with five multi-object trackers and classifies the shot being played.
Track video objects with YOLOv8 and StrongSORT, using appearance embeddings and MOT metrics for reliable multi-object tracking
Advanced multi-object tracking pipeline — YOLOv8m + StrongSORT with OSNet appearance embeddings on MOT17. HOTA 41.6 | MOTA 38.1 | IDF1 50.8. Benchmarked against ByteTrack baseline with TrackEval.
Autonomous drone person-following: YOLOv8 (TensorRT) + StrongSORT target lock, 3-axis PID and MAVLink velocity control on Jetson Orin Nano.
Comparative analysis of DeepOCSORT, StrongSORT, and ByteTrack for robust tracking under heavy occlusion.
This project builds a person detection and tracking system that distinguishes between children and adults, assigns unique IDs, and handles occlusions, re-entries, and new appearances. It’s designed to monitor interactions between children with Autism Spectrum Disorder (ASD) and therapists, supporting personalized treatment planning.
YOLO11 多目标行人检测与跟踪:两套数据集合并微调、三种跟踪器 TrackEval 定量对比、FastAPI + Vue3 可视化平台
Scalable Flask API powering the Badminton AI Analyser. Orchestrates a concurrent multi-model pipeline (YOLO, StrongSORT, TrackNet, SlowFast) on Google Cloud Platform to process high-speed match footage.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 17 个项目;原始页面见 https://github.com/topics/strongsort。
- 该话题在 GitHub 上共有 17 个仓库, 本站收录的是其中最热门的 17 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 17 个项目累计 9192 Star,覆盖 2 种主要语言,数据更新于 2026-11-07。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。