Ski video analysis from the clip you already filmed

The current beta focuses on visual replay outputs. After upload, Poser asks you to trim the useful part of the clip and select the skier when needed. The analysis pipeline tracks the skier through the run, estimates body pose, and produces views such as a head-tracked replay and a skeleton overlay.

Those outputs are not a substitute for a full lesson. They are designed to make the video easier to read. Keeping the skier centered helps you inspect the same movement across the turn instead of chasing a fast subject across the frame. The skeleton overlay makes shoulder line, hip movement, stance width, and rough body angles easier to discuss.

Start with the simple questions a coach would ask while watching video: does your upper body stay quiet, do both turns look similar, do your skis release cleanly, and does pressure build progressively instead of all at once? The replay helps you pause, slow down, and compare one turn to the next.

For many skiers the most useful discoveries are not dramatic. A small inside-shoulder drop, a late edge change, or a stance that narrows at the end of the turn can be hard to see at full speed. Video analysis gives you a shared reference point for those details.

Use a steady camera and keep the skier visible from head to skis for several linked turns. A side or three-quarter angle usually works better than a far-away rear view. Avoid heavy zoom, fast pans, and clips where other skiers repeatedly cross the subject.

The analysis is only as useful as the footage. A clear 10 to 20 second clip can be better than a long run where the skier is tiny in the frame. If the tracker has a clean view, the replay outputs become much easier to study.

The long-term goal is quantitative and qualitative ski technique feedback: clearer movement metrics, per-turn comparisons, and plain-English observations that help skiers decide what to try next. Poser already has the foundations for replay, tracking, and pose estimation, and the product will keep adding technique-specific interpretation carefully.

That careful rollout matters. Skiing is a physical skill, and an AI tool should be honest about uncertainty. Poser should support coaching conversations and self-review, not pretend every movement pattern can be reduced to a perfect score.