AI-Based Football Video Analytics – Research Project
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About this role
Python, Statistics, Machine Learning (ML), Big Data Sales, Statistical Analysis, Data Science, Data Visualization, Data Analysis, Computer Vision, YOLO · AI-Based Football Video Analytics – Research Project
I’m looking for an AI/ML + Computer Vision developer/researcher to develop an experimental research prototype + research paper on:
“AI-Based Low-Cost Video Analytics System for Assisting Grassroots Football Talent Identification.”
Project Scope
I already have football video footage. The goal is to build a research-level prototype, not a commercial application.
Workflow: Football Video → Preprocessing → Player Detection (YOLO) → Player Tracking (ByteTrack/BoT-SORT) → Movement/Position Analysis → Feature Extraction → Player Performance Metrics → Analytical Player Profile
Possible metrics include distance, estimated speed, movement intensity, trajectories, field/zone coverage, and other reliably measurable indicators.
Experimental Requirements
The implementation must produce genuine quantitative results, including where applicable:
-Detection: Precision, Recall, F1, mAP -Tracking: IDF1, ID switches/MOTA -Performance: FPS, processing time -Player-wise performance analysis -Graphs, tables and visualized/annotated video results -Model/approach comparison where feasible
No fabricated results.
Research Paper Format
Abstract →