公开(公告)号：US20160125233A1

公开(公告)日：2016-05-05

申请号：US14992973

申请日：2016-01-11

Applicant: 9051147 CANADA INC.

Inventor： John Eric EATON ,  Wesley Kenneth COBB ,  Dennis G. URECH ,  David S. FRIEDLANDER ,  Gang XU ,  Ming-Jung SEOW ,  Lon W. RISINGER ,  David M. SOLUM ,  Tao YANG ,  Rajkiran K. GOTTUMUKKAL ,  Kishor Adinath SAITWAL

IPC: G06K9/00 ,  G06N99/00 ,  G06K9/66

CPC classification number: G06K9/00718 ,  G06F17/30598 ,  G06K9/00335 ,  G06K9/00751 ,  G06K9/00771 ,  G06K9/6215 ,  G06K9/66 ,  G06K2009/00738 ,  G06N99/005

Abstract: A machine-learning engine is disclosed that is configured to recognize and learn behaviors, as well as to identify and distinguish between normal and abnormal behavior within a scene, by analyzing movements and/or activities (or absence of such) over time. The machine-learning engine may be configured to evaluate a sequence of primitive events and associated kinematic data generated for an object depicted in a sequence of video frames and a related vector representation. The vector representation is generated from a primitive event symbol stream and a phase space symbol stream, and the streams describe actions of the objects depicted in the sequence of video frames.