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 |
代理机构 |
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代理人 |
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主权项 |
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地址 |
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