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Here, we present an end-to-end method to create 2D animation for a goalkeeperattempting to block a penalty kick, and then correct that motion using aniterative nonlinear optimization scheme. The input is a raw video that is fedinto pose and object detection networks to find the skeleton of the goalkeeperand the ball. The output is a set of key frames of the skeleton associated withthe corrected motion so that if the goalkeeper missed the ball, the animationwill show then successfully deflecting it. Our method is robust enough correctdifferent kinds of mistakes the goalkeeper can make, such as not lunging farenough or jumping to the incorrect side. Our method is also meant to besemantically similar to the goalkeeper's original motion, which helps keep ouranimation grounded with respect to actual human behavior.

Semantic Motion Correction Via Iterative Nonlinear Optimization and Animation