🌊 Optical Flow Visualizer

Optical Flow

What: Motion estimation between frames. Tracks movement of pixels/features over time.

Methods: Lucas-Kanade (sparse), Farneback (dense), Deep learning (FlowNet, PWC-Net)

Applications: Video stabilization • Object tracking • Action recognition • Autonomous driving • Motion capture