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.
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申请公布号 |
US8411935(B2) |
申请公布日期 |
2013.04.02 |
申请号 |
US20080170268 |
申请日期 |
2008.07.09 |
申请人 |
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;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 |
G06K9/62 |
主分类号 |
G06K9/62 |
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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