Player Tracking
Home
Pipeline
Phase 0
Data Collection
Phase 1
Background Subtraction
Image Smoothening
Position Estimation
Position Optimization
Phase 2
Track Estimation
Track Optimzation
Track Data Computation
Phase 3
Net Track Estimation
Heatmap Estimation
HOG Feature Extraction
Play Classification
Tracking
Data Analysis
Dataset
Code
Optimize Estimated Player Location
Prev
Back to Pipeline
Next
K-means clustering is performed on the local extremas detected. The clusters are futher refined to locate potential positions of players.
Above: Estimated players positions over time.
Below: Centeroid refinement