公开(公告)号：US20120163670A1

公开(公告)日：2012-06-28

申请号：US13413549

申请日：2012-03-06

申请人： John Eric EATON ,  Wesley Kenneth COBB ,  Dennis Gene URECH ,  Bobby Ernest BLYTHE ,  David Samuel FRIEDLANDER ,  Rajkiran Kumar GOTTUMUKKAL ,  Lon William RISINGER ,  Kishor Adinath SAITWAL ,  Ming-Jung SEOW ,  David Marvin SOLUM ,  Gang XU ,  Tao YANG

发明人： John Eric EATON ,  Wesley Kenneth COBB ,  Dennis Gene URECH ,  Bobby Ernest BLYTHE ,  David Samuel FRIEDLANDER ,  Rajkiran Kumar GOTTUMUKKAL ,  Lon William RISINGER ,  Kishor Adinath SAITWAL ,  Ming-Jung SEOW ,  David Marvin SOLUM ,  Gang XU ,  Tao YANG

IPC分类号： G06K9/00

CPC分类号： G06K9/00771 ,  G08B13/19608 ,  G08B13/19613

摘要： Embodiments of the present invention provide a method and a system for analyzing and learning behavior based on an acquired stream of video frames. Objects depicted in the stream are determined based on an analysis of the video frames. Each object may have a corresponding search model used to track an object's motion frame-to-frame. Classes of the objects are determined and semantic representations of the objects are generated. The semantic representations are used to determine objects' behaviors and to learn about behaviors occurring in an environment depicted by the acquired video streams. This way, the system learns rapidly and in real-time normal and abnormal behaviors for any environment by analyzing movements or activities or absence of such in the environment and identifies and predicts abnormal and suspicious behavior based on what has been learned.

摘要翻译： 本发明的实施例提供了一种基于所获取的视频帧流来分析和学习行为的方法和系统。 基于对视频帧的分析来确定流中描绘的对象。 每个对象可以具有用于跟踪对象的帧到帧的运动的对应的搜索模型。 确定对象的类，并生成对象的语义表示。 语义表示用于确定对象的行为，并了解在所获取的视频流中描绘的环境中发生的行为。 通过这种方式，系统通过分析环境中的动作或活动或不存在这些环境，快速，实时地对任何环境的正常和异常行为进行学习，并根据所学到的知识和预测异常和可疑行为。