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

Real-time multi-object tracker using YOLOv7 and StrongSORT with OSNet

OpenVINO Training Extensions Object Re-identification

Detect, track and count different classes of objects.

Implementing and training an AI model for Person Re-Identification task

Successfully developed a real-time soccer player re-identification and tracking system using YOLOv11 and Deep SORT with TorchreID-based embeddings.

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.

This is the pipeline 1 for player detection in football match. (gpu recommended)