Systems and methods for performing behavioral detection using three-dimensional tracking
and machine learning in accordance with various embodiments of the invention are
disclosed. One embodiment of the invention involves a the classification application that
directs a microprocessor to: identify at least a primary subject interacting with a secondary
subject within a sequence of frames of image data including depth information; determine
poses of the subjects; extract a set of parameters describing the poses and movement of at
least the primary and secondary subjects; and detect a social behavior performed by at least
the primary subject and involving at least the second subject using a classifier trained to
discriminate between a plurality of social behaviors based upon the set of parameters
describing poses and movement
