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11. 发明公开

EP2795600A4 CLOUD-BASED VIDEO SURVEILLANCE MANAGEMENT SYSTEM 有权转让
标题翻译：基于云的视频监控系统管理
公开(公告)号：EP2795600A4
公开(公告)日：2015-10-07
申请号：EP12860946
申请日：2012-10-26
申请人： PELCO INC
发明人： WANG LEI , ZHU HONGWEI , MILLAR GREG
IPC分类号： G08B13/196 , H04N7/18 , H04N21/44 , H04N21/482 , H04N21/81
CPC分类号： G08B13/19671 , G08B13/19643 , G08B13/19645 , G08B13/19656 , H04N7/181 , H04N21/44008 , H04N21/4828 , H04N21/8133

12. 发明公开

EP2659433A4 INFERENCE ENGINE FOR VIDEO ANALYTICS METADATA-BASED EVENT DETECTION AND FORENSIC SEARCH 审中-公开
标题翻译：推断视频分析基于元数据的事件检测和取证搜索
公开(公告)号：EP2659433A4
公开(公告)日：2014-04-02
申请号：EP11853977
申请日：2011-12-22
申请人： PELCO INC
发明人： ZHU HONGWEI , WANG LEI , YANG SHU , AGHDASI FARZIN , MILLAR GREG
IPC分类号： G06K9/46 , G06K9/00 , G06T7/00 , H04N5/76 , H04N21/482
CPC分类号： H04N21/4828 , G06F17/3079 , G06F17/30817 , G06F17/30828 , G06F17/30834 , G06K9/00771 , H04N5/76
摘要： Embodiments of the disclosure provide for systems and methods for searching video data for events and/or behaviors. An inference engine can be used to aide in the searching. In some embodiments, a user can specify various search criteria, for example, a video source(s), an event(s) or behavior(s) to search, and an action(s) to perform in the event of a successful search. The search can be performed by analyzing an object(s) found within scenes of the video data. An object can be identified by a number of attributes specified by the user. Once the search criteria has been received from the user, the video data can be received (or extracted from storage), the data analyzed for the specified events (or behaviors), and the specified action performed in the event a successful search occurs.

13. 发明公开

EP2659456A4 SCENE ACTIVITY ANALYSIS USING STATISTICAL AND SEMANTIC FEATURE LEARNT FROM OBJECT TRAJECTORY DATA 有权转让
标题翻译：场景活动分析行驶的列车数据和统计对象的方式学习语义特征
公开(公告)号：EP2659456A4
公开(公告)日：2017-03-22
申请号：EP11853102
申请日：2011-12-22
申请人： PELCO INC
发明人： MILLAR GREG , AGHDASI FARZIN , ZHU HONGWEI
IPC分类号： G06T7/20 , H04N5/91 , H04N7/18
CPC分类号： G06K9/00785
摘要： Trajectory information of objects appearing in a scene can be used to cluster trajectories into groups of trajectories according to each trajectory's relative distance between each other for scene activity analysis. By doing so, a database of trajectory data can be maintained that includes the trajectories to be clustered into trajectory groups. This database can be used to train a clustering system, and with extracted statistical features of resultant trajectory groups a new trajectory can be analyzed to determine whether the new trajectory is normal or abnormal. Embodiments described herein, can be used to determine whether a video scene is normal or abnormal. In the event that the new trajectory is identified as normal the new trajectory can be annotated with the extracted semantic data. In the event that the new trajectory is determined to be abnormal a user can be notified that an abnormal behavior has occurred.
摘要翻译：在一个场景中亮相的物体的轨迹信息可用来簇的轨迹成gemäß为场景活动分析海誓山盟之间的每个轨迹的相对距离的轨迹组。通过这样做，轨迹数据的数据库可以保持没有包括被聚集成团的轨迹轨迹。这个数据库可以用来训练聚类系统，并与合力轨迹组提取统计特征一条新的轨迹进行分析，以确定是否雷新轨迹是正常还是异常。在描述的实施例，可以被用于确定性地矿无论视频场景是正常还是异常。在事件做了新的轨迹被识别为正常的新轨迹可以与语义提取的数据进行注释。在事件做了新的轨迹是确定的开采是不正常的用户可以被通知做了异常的行为已经发生。

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