  While human and group analysis have become an important area in last decades,
some current and relevant applications involve to estimate future motion of
pedestrians in real video sequences. This paper presents a method to provide
motion estimation of real pedestrians in next seconds, using crowd simulation.
Our method is based on Physics and heuristics and use BioCrowds as crowd
simulation methodology to estimate future positions of people in video
sequences. Results show that our method for estimation works well even for
complex videos where events can happen. The maximum achieved average error is
$2.72$cm when estimating the future motion of 32 pedestrians with more than 2
seconds in advance. This paper discusses this and other results.

Computer Vision and Pattern Recognition;Graphics