31. A behavioral classification system, comprising: a plurality of 3D imaging systems; and a behavioral classification computer system comprising at least one memory and at least one microprocessor directed by at least a classification application stored in the at least one memory to: control the plurality of 3D imaging systems to each acquire a sequence of frames of image data comprising depth information; store at least a portion of each of the sequences of frames of image data comprising depth information in the at least one memory; and for each of the sequences of frames of image data: identify at least a primary subject interacting with a secondary subject within a given 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 given 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 given sequence of frames of image data; 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; and store the detected social behavior and an association with the primary subject in the at least one memory.
31. A behavioral classification system, comprising: a plurality of 3D imaging systems; and a behavioral classification computer system comprising at least one memory and at least one microprocessor directed by at least a classification application stored in the at least one memory to: control the plurality of 3D imaging systems to each acquire a sequence of frames of image data comprising depth information; store at least a portion of each of the sequences of frames of image data comprising depth information in the at least one memory; and for each of the sequences of frames of image data: identify at least a primary subject interacting with a secondary subject within a given 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 given 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 given sequence of frames of image data; 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; and store the detected social behavior and an association with the primary subject in the at least one memory. 32. The behavioral classification system of claim 31 , wherein the behavioral classification computer system is further directed to detect occurrence of modified social behavior resulting from administration of a pharmaceutical to a set of a plurality of primary subjects identified in the plurality of sequences of frames of image data based upon the detected social behaviors associated with the set of a plurality of primary subjects stored in the at least one memory.