A project about the automatic analysis and visualization of motion in the cinema. A newly designed machine learning algorithm decomposes the movement in every sequence of a movie into a set of elementary motions. These elementary motions are then recombined to produce a reconstruction of the visible movement in the sequence. The analysis and reconstruction are displayed as a two-channel video installation. The visualization of the movement uses a variant of the streakline method often employed in fluid dynamics. 

Shown at: Neural Information Processing Systems NEURLPS, December 9, 2020.

http://www.aiartonline.com/highlights-2020/hector-rodriguez-3/