Sports
Sports
Industry Challenges in Sports AI
- Highly complex player movements across large fields or courts
- Multi-angle broadcast, training, and drone footage
- Occlusions, overlaps, and rapid directional changes
- Need for consistent labeling across long video sequences
- High data volume during tournaments, leagues, and broadcasts
How rProcess Supports the Sports Ecosystem
rProcess provides accurate, scalable annotations for high‑speed sports footage to power analytics and performance models. Our expertise ensures reliable player tracking, event detection, and strategic insights across any sport.
Annotation Services for Sports
- Roster Tracking
- Event Tagging
- XY Positioning
- Jersey Identification
- Frame-by-Frame Tracking
- Play Segmentation
- Camera Calibration
- Player Tracking
- Velocity Mapping
- QA Validation
- Pitch Marking
- Bowler Analysis
- Ball Tracking
- Batsman Actions
- Shot Classification
- Possession Events
- Defensive Actions
- Non-Possession Plays
- Trajectory Points
- LPR Tracking
Why Choose rProcess?
Expertise in High‑Motion, High‑Complexity Sports Data
We accurately track rapid player movements, objects, and events across varied indoor and outdoor sports.
Precision Across Long Play Sequences & Multi‑Camera Feeds
Our annotation workflows ensure reliable tracking and event tagging across broadcast-level video content.
Fast Turnaround for Broadcast & League Requirements
We meet tight production schedules with quick delivery suitable for live analytics, media, and team operations.
Scalable Teams for Tournaments & Season‑Long Projects
Our workforce adapts seamlessly to league calendars and high-intensity data volumes.
Sports Case Studies
Advanced sports analytics rely on accurate player and ball tracking for reliable insights. Automated systems often face challenges in jersey number recognition and fast ball movement tracking, leading to data inconsistencies and reduced model accuracy.
Delivered precise annotation and correction workflows to improve player identification and ball tracking accuracy in match footage.
Scope of Work:
- Jersey Number Correction: Keyboard-driven, segment-based analysis for accurate player ID.
- Ball Tracking: Frame-by-frame centroid marking with mouse-based point annotation and quick error correction.
- Error Correction: “Undo” feature for quick label adjustments.
- Optimized Workflow: Streamlined multi-step process enabling high-volume, efficient data correction.
- Improved player tracking accuracy and ball trajectory modeling through precise corrections.
- Ensured data integrity and faster processing using efficient annotation controls.
- Delivered high-quality corrected datasets supporting automated analytics and broadcast systems.
- Supported multiple applications across:
- Sports Analytics & Performance: Player stats and tactical insights.
- Broadcast & Media: Enhanced visuals, replay tracking, and real-time data overlays.
- Computer Vision / AI: Ground truth datasets for model training and validation.
Accurate player identification and tracking are essential for AI-driven match analysis and tactical insights. Traditional methods are time-consuming and often inconsistent due to occlusions, movement speed, and visual complexity.
Delivered precise, frame-level player identification and tracking annotations to enhance match analysis efficiency and accuracy.
Scope of Work:
- Player Identification: Multi-dimensional tagging using jersey numbers, physical traits, and positional context with OCR-assisted verification.
- Frame-Accurate Tracking: Slideshow preview, conflict detection, and video-based QA for identity consistency.
- Collaborative Workflow: Multi-user platform enabling rapid full-match annotation within two hours and structured data outputs for seamless integration.
- Reduced annotation time from 8+ hours to under 2 hours with high-precision player tracking.
- Ensured consistent quality through structured workflows and automated validation.
- Built a scalable setup supporting multiple matches with reliable outputs.
- Supported key applications across:
- Sports Analytics & Performance: Automated tracking and tactical formation analysis.
- Broadcast & Media: Real-time overlays, highlights, and synchronized visuals.
- Gaming & Sports Tech: Data for simulations, prediction models, and live tracking systems.
