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Data-driven Crowd Analysis in Videos Mikel Rodriguez1,4

Summary: Data-driven Crowd Analysis in Videos
Mikel Rodriguez1,4
Josef Sivic2,4
Ivan Laptev2,4
Jean-Yves Audibert3,4
1 ´Ecole Normale Sup´erieure 2
Imagine, LIGM, Universite Paris-Est
In this work we present a new crowd analysis algorithm
powered by behavior priors that are learned on a large
database of crowd videos gathered from the Internet. The
algorithm works by first learning a set of crowd behavior
priors off-line. During testing, crowd patches are matched
to the database and behavior priors are transferred. We ad-
here to the insight that despite the fact that the entire space
of possible crowd behaviors is infinite, the space of distin-
guishable crowd motion patterns may not be all that large.
For many individuals in a crowd, we are able to find anal-
ogous crowd patches in our database which contain sim-


Source: Audibert, Jean-Yves - Département d'Informatique, École Normale Supérieure
École Normale Supérieure, Laboratoire d'Informatique, WILLOW Computer vision and machine learning research laboratory


Collections: Computer Technologies and Information Sciences; Engineering