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Real-time Motion Tracking and Pose Estimation

· 3 min read
Sai Prudhvi Neelakantam
Data & AI Engineer

Real-time pose estimation is one of those problems that looks simple from the outside and becomes interesting immediately once you start handling actual video streams. The core goal is to identify body landmarks quickly enough that the output feels live, which means latency and stability matter just as much as model accuracy.

A good implementation balances three concerns: getting frames into the pipeline efficiently, running inference reliably, and presenting the results in a way that is easy to understand. When the visualization is clear, the technical work underneath becomes easier to trust and easier to demo.