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Bipartite Matching on VIRAT

Hungarian-matching pipeline combining IoU, centroid distance, and class cues for multi-object tracking.

2025

Tech stack

PythonSciPyOpenCVNumPy

Problem

Object tracking pipeline for the VIRAT dataset using the Hungarian algorithm with a composite cost function: IoU overlap, centroid Euclidean distance, and class consistency cues.

Approach

Generates side-by-side match visualizations and CSV reports per frame. Evaluated across multiple detection confidence thresholds..

Result

See the code for full results.

Full writeup

Object tracking pipeline for the VIRAT dataset using the Hungarian algorithm with a composite cost function: IoU overlap, centroid Euclidean distance, and class consistency cues. Generates side-by-side match visualizations and CSV reports per frame. Evaluated across multiple detection confidence thresholds.