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Systems and Methods for Behavior Detection Using 3D Tracking and Machine Learning

Hong, Weizhe and Anderson, David J. and Perona, Pietro (2017) Systems and Methods for Behavior Detection Using 3D Tracking and Machine Learning. Patent number: US20170046567A1. http://resolver.caltech.edu/CaltechAUTHORS:20180614-121314343

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Abstract

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.


Item Type:Patent
ORCID:
AuthorORCID
Perona, Pietro0000-0002-7583-5809
Record Number:CaltechAUTHORS:20180614-121314343
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20180614-121314343
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:87108
Collection:CaltechAUTHORS
Deposited By: Caroline Murphy
Deposited On:14 Jun 2018 20:48
Last Modified:14 Jun 2018 20:48

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