1. A behavioral classification system, comprising: a microprocessor; and memory containing a classification application; wherein the classification application directs the microprocessor to: identify at least a primary subject interacting with a secondary subject within a sequence of frames of image data comprising depth information; determine poses for at least the primary subject and the secondary subject within a plurality of frames from the sequence of frames of image data; extract a set of parameters describing the poses and movement of at least the primary and secondary subjects from the plurality of frames from the sequence of frames of image data; and detect a social behavior performed by at least the primary subject and involving at least the secondary subject, wherein the primary subject occludes at least a portion of the secondary subject, using a classifier trained to discriminate between a plurality of social behaviors based upon the set of parameters describing poses and movement of a plurality of subjects extracted from a plurality of frames of image data comprising depth information.