Demo on how to compute soccer ball possession automatically using AI.
Tracking-by-Detection形式のMOT(Multi Object Tracking)について、 DetectionとTrackingの処理を分離して寄せ集めたフレームワーク(Tracking-by-Detection method MOT(Multi Object Tracking) is a framework that separates the processing of Detection and Tracking.)
A lightweight script for performing Kalman filter based object tracking using MMDetection models.
ROS package for multi-object tracking using Norfair.
Drop-in Rust/Python replacement for norfair — Add real-time multi-object tracking to any detector — A (mostly automated) rust port of norfair https://github.com/tryolabs/norfair
PPE masks detection and tracking😷
Plankton Detection and Counting System for cell density calculation
A short Python script that detects and tracks objects from video and then outputs video slices with the detected objects
Traffic monitoring from webcam
Object Detection in video streaming
AI-powered intelligent traffic management system using YOLO, OpenCV, Norfair, Streamlit, and MySQL for emergency vehicle detection and lane prioritization.
This project demonstrates a robust end-to-end pipeline for detecting and tracking road signs, even in extremely low-FPS, low-quality video footage, unlike conventional methods even when objects briefly disappear or move abruptly between frames.
Computer vision pipeline for soccer analytics: player/ball detection & tracking, team classification, possession counting, and pass-event detection from raw match videos.
Lightweight Go library for adding real-time multi-object tracking to any detector — A (mostly automated) golang port of norfair https://github.com/tryolabs/norfair
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