发明名称 SEMANTIC REPRESENTATION MODULE OF 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 US2014072206(A1) 申请公布日期 2014.03.13
申请号 US201313855332 申请日期 2013.04.02
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
分类号 G06K9/66;G06K9/00 主分类号 G06K9/66
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