strongsort

BoxMOT: Pluggable SOTA multi-object tracking modules modules for segmentation, object detection and pose estimation models

Real-time multi-camera 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.

Tracker Model Hub Library

A complete ROS interface for running YOLOv5 and StrongSORT inference

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.