Tracker Video Analysis Tool

The tracker video analysis and modeling tool ingests video data or precomputed tracking data to quantify motion and form trajectory models. It supports scenes with one or more subjects and accepts 2D pose data or raw video from which motion features are extracted. The core pipeline tracks feature points across frames, applies smoothing to reduce jitter, and computes per-frame coordinates, velocities, accelerations, and basic joint angles. This provides objective motion descriptors suitable for performance analysis, biomechanics research, and sport analytics without the need for manual annotation.
Conceptually, the tool separates data capture from modeling. It uses a configurable pipeline: data ingestion, tracking and quality checks, calibration (when provided), feature aggregation, and model fitting to generate trajectories. Quantities such as speed, direction changes, and curvature are derived, and trajectory segments can be grouped by activity or ROI. Optional 3D reconstruction and real-world unit calibration enable comparisons across sessions. Users can define regions of interest, frame ranges, and sampling options to tailor analyses to their domain.
Unique value comes from reproducibility, data provenance, and flexible export. The tool produces machine-readable outputs (CSV/JSON) and supports scriptable pipelines for batch analyses. It is suitable for researchers validating algorithms, coaches tracking training load, and analysts comparing interventions. Common use cases include gait and running analysis, motion capture for biomechanics, and on-field performance tracking. By separating computation from presentation, it supports downstream statistical modeling, visualization, and integration with external analytics frameworks.