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