COGNITIVE MODEL FOR A MACHINE-LEARNING ENGINE IN A VIDEO ANALYSIS SYSTEM
摘要
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.
申请公布号
EP2176811(A4)
申请公布日期
2015.09.30
申请号
EP20080781639
申请日期
2008.07.10
申请人
BEHAVIORAL RECOGNITION SYSTEMS, INC.
发明人
EATON, JOHN ERIC;COBB, WESLEY KENNETH;URECH, DENNIS G.;FRIEDLANDER, DAVID S.;XU, GANG;SEOW, MING-JUNG;RISINGER, LON W.;SOLUM, DAVID M.;YANG, TAO;GOTTUMUKKAL, RAJKIRAN K.;SAITWAL, KISHOR ADINATH