egomotion-estimationv0.1.0

Automatically detect and label camera motion types (e.g., dolly, pan, tilt) in large video archives. This enables efficient metadata generation for video search, recommendation, and retrieval systems.

Analyze video footage from smartphone cameras to identify unintentional camera motion and classify stabilization performance. Useful for camera testing and app development.

Estimate the ego-motion of a vehicle-mounted camera using optical flow to infer vehicle movement (e.g., forward, turning). This can augment inertial sensors for navigation.

Classify camera motion in sports broadcasts (e.g., pan following a player, dolly during a close-up). Enables automatic highlight generation and tactical analysis.

Offer a cloud-based service that processes uploaded videos and returns motion-tagged segments. Charged per minute of video processed or via monthly subscription tiers.

Provide a REST API for ego-motion estimation, allowing developers to integrate motion classification into their own applications. Priced based on API calls or data volume.

License the estimation algorithm as a software module for integration into hardware products (e.g., cameras, drones, robots). One-time licensing fee with per-unit royalties.