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1. 发明申请

US20110205359A1 VIDEO SURVEILLANCE SYSTEM 审中-公开
标题翻译：视频监控系统
公开(公告)号：US20110205359A1
公开(公告)日：2011-08-25
申请号：US12709192
申请日：2010-02-19
申请人： Kuo Chu LEE , Hasan Timucin OZDEMIR , Xiangjun SHI , Lipin LIU , Namsoo JOO , Juan YU , Jun LIU
发明人： Kuo Chu LEE , Hasan Timucin OZDEMIR , Xiangjun SHI , Lipin LIU , Namsoo JOO , Juan YU , Jun LIU
IPC分类号： H04N7/18
CPC分类号： G06K9/00771 , G06T7/285 , G08B13/19608 , G08B13/19676
摘要： A video surveillance system is disclosed. The system includes a model database storing a plurality of models and a vector database storing a plurality of vectors of recently observed trajectories. The system includes a model building module that builds a new motion model corresponding to the motion data of the current trajectory data structure. The system generates a current trajectory data structure having motion data and abnormality scores. The system also includes a database purging module configured to determine a subset of vectors that is most similar to the current trajectory data structure based on a measure of similarity between the subset of vectors and the current trajectory data structure. The database purging module is further configured to replace one of the motion models in the model database with the new motion model based on an amount of vectors in the subset vectors the recentness of the subset of vectors.
摘要翻译：公开了一种视频监控系统。该系统包括存储多个模型的模型数据库和存储最近观察到的轨迹的多个矢量的矢量数据库。该系统包括建立与当前轨迹数据结构的运动数据相对应的新运动模型的模型构建模块。该系统产生具有运动数据和异常分数的当前轨迹数据结构。该系统还包括数据库清除模块，其被配置为基于矢量子集与当前轨迹数据结构之间的相似度测量来确定与当前轨迹数据结构最相似的向量子集。数据库清除模块还被配置为基于子集向量中矢量子集的近似度，用新的运动模型替换模型数据库中的运动模型中的一个。

2. 发明申请

US20100208063A1 SYSTEM AND METHODS FOR IMPROVING ACCURACY AND ROBUSTNESS OF ABNORMAL BEHAVIOR DETECTION 审中-公开
标题翻译：用于提高异常行为检测精度和鲁棒性的系统和方法
公开(公告)号：US20100208063A1
公开(公告)日：2010-08-19
申请号：US12496681
申请日：2009-07-02
申请人： Kuo Chu Lee , Hasan Timucin Ozdemir , Juan Yu , Xiangjun Shi
发明人： Kuo Chu Lee , Hasan Timucin Ozdemir , Juan Yu , Xiangjun Shi
IPC分类号： G08B21/00 , H04N5/00
CPC分类号： G06T7/20 , G06K9/00771 , G08B13/19608 , G08B13/19613 , G08B13/19641 , H04N7/181
摘要： A surveillance system improves accuracy and robustness of abnormal behavior detection of a monitored object traversing a space includes a metadata processing module, a model building module, and a behavior assessment module. The metadata processing module generates trajectory information for a monitor object and determines attributes of the monitored object. The model building module at least one of generates and updates normal motion models based on at least one of the trajectory information, the attributes, and an abnormal behavior score. The behavior assessment module generates the abnormal behavior score based on one of a plurality of methods. A first one of the plurality of methods defines wrong direction behavior. A second one of the plurality of methods defines wandering/loitering behavior. A third one of the plurality of methods defines speeding behavior.
摘要翻译：监视系统提高了穿过空间的被监视对象的异常行为检测的精度和鲁棒性，包括元数据处理模块，模型构建模块和行为评估模块。元数据处理模块生成监视对象的轨迹信息，并确定被监视对象的属性。模型构建模块至少基于轨迹信息，属性和异常行为得分中的至少一个来生成和更新正常运动模型。行为评估模块基于多种方法之一产生异常行为得分。多种方法中的第一种方法定义了错误的方向行为。多种方法中的第二种方法定义了流浪/游荡行为。多种方法中的第三种方法定义了超速行为。

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