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1. 发明申请

WO2013137958A2 SONAR SYSTEM FOR AUTOMATICALLY DETECTING LOCATION OF DEVICES 审中-公开
标题翻译：用于自动检测设备位置的SONAR系统
公开(公告)号：WO2013137958A2
公开(公告)日：2013-09-19
申请号：PCT/US2012069750
申请日：2012-12-14
申请人： MILLAR JAMES , AGHDASI FARZIN , MILLAR GREG , PELCO INC
发明人： MILLAR JAMES , AGHDASI FARZIN , MILLAR GREG
IPC分类号： G01S3/80
CPC分类号： G01S13/46 , G01S15/025 , G01S15/874 , G01S2013/466
摘要： Systems and methods are described for determining device positions in a video surveillance system. A method described herein includes generating a reference sound; emitting, at a first device, the reference sound; detecting, at the first device, a responsive reference sound from one or more second devices in response to the emitted reference sound; identifying a position of each of the one or more second devices; obtaining information relating to latency of the one or more second devices; computing a round trip time associated with each of the one or more second devices based on at least a timing of detecting the one or more responsive reference sounds and the latency of each of the one or more second devices; and estimating the position of the first device according to the round trip time and the position associated with each of the one or more second devices.
摘要翻译：描述了用于确定视频监视系统中的设备位置的系统和方法。这里描述的方法包括生成参考声音; 在第一设备处发射参考声音; 响应于所发射的参考声音，在第一设备处检测来自一个或多个第二设备的响应参考声音; 识别所述一个或多个第二设备中的每一个的位置; 获得与所述一个或多个第二设备的等待时间有关的信息; 至少基于检测所述一个或多个响应参考声音的时间以及所述一个或多个第二设备中的每一个的等待时间来计算与所述一个或多个第二设备中的每一个相关联的往返时间; 以及根据往返时间和与一个或多个第二设备中的每一个相关联的位置来估计第一设备的位置。

2. 发明申请

WO2013096029A3 INTEGRATED VIDEO QUANTIZATION 审中-公开
标题翻译：集成的视频量化
公开(公告)号：WO2013096029A3
公开(公告)日：2013-08-15
申请号：PCT/US2012069045
申请日：2012-12-12
申请人： WANG LEI , AGHDASI FARZIN , MILLAR GREG , PELCO INC
发明人： WANG LEI , AGHDASI FARZIN , MILLAR GREG
IPC分类号： G06T5/00 , G06T5/40
CPC分类号： G06T5/009 , G06T5/40 , G06T2207/10016 , G06T2207/10048
摘要： Techniques for processing video content in a video camera are provided. The techniques include a method for processing video content in at video camera according to the disclosure includes capturing thermal video data using a thermal imaging sensor, determining quantization parameters for the thermal video data, quantizing the thermal video data to generate quantized thermal video data content and video quantization information, and transmitting the quantized thermal video data stream and the video quantization information to a video analytics server over a network.
摘要翻译：提供了用于处理视频相机中的视频内容的技术。所述技术包括根据本公开内容在视频相机中处理视频内容的方法，包括：使用热成像传感器捕获热视频数据，确定热视频数据的量化参数，量化热视频数据以生成量化的热视频数据内容，以及视频量化信息，并且通过网络将量化的热视频数据流和视频量化信息发送到视频分析服务器。

3. 发明申请

WO2012092148A2 SCENE ACTIVITY ANALYSIS USING STATISTICAL AND SEMANTIC FEATURE LEARNT FROM OBJECT TRAJECTORY DATA 审中-公开
标题翻译：使用从对象轨迹数据中获得的统计和语义特征的场景活动分析
公开(公告)号：WO2012092148A2
公开(公告)日：2012-07-05
申请号：PCT/US2011066962
申请日：2011-12-22
申请人： PELCO INC , MILLAR GREG , AGHDASI FARZIN , ZHU HONGWEI
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：出现在场景中的物体的轨迹信息可用于根据每个轨迹的相对距离将轨迹分组到轨迹组，以进行场景活动分析。通过这样做，可以保持轨迹数据的数据库，其包括要聚集成轨迹组的轨迹。该数据库可用于训练聚类系统，并且通过提取的结果轨迹组的统计特征，可以分析新的轨迹，以确定新轨迹是正常还是异常。本文描述的实施例可以用于确定视频场景是正常还是异常。在新轨迹被识别为正常的情况下，可以用所提取的语义数据来注释新的轨迹。在新轨迹被确定为异常的情况下，可以通知用户发生异常行为。

4. 发明申请

WO2012092144A3 TRACKING MOVING OBJECTS USING A CAMERA NETWORK 审中-公开
标题翻译：使用摄像机网络跟踪移动对象
公开(公告)号：WO2012092144A3
公开(公告)日：2012-11-15
申请号：PCT/US2011066956
申请日：2011-12-22
申请人： PELCO INC , MILLAR GREG , AGHDASI FARZIN , WANG LEI
发明人： MILLAR GREG , AGHDASI FARZIN , WANG LEI
IPC分类号： G08B25/10 , G08B13/196 , H04N5/262 , H04N7/18
CPC分类号： H04N7/181 , G08B13/19608
摘要： Techniques are described for tracking moving objects using a plurality of security cameras. Multiple cameras may capture frames that contain images of a moving object. These images may be processed by the cameras to create metadata associated with the images of the objects. Frames of each camera's video feed and metadata may be transmitted to a host computer system. The host computer system may use the metadata received from each camera to determine whether the moving objects imaged by the cameras represent the same moving object. Based upon properties of the images of the objects described in the metadata received from each camera, the host computer system may select a preferable video feed containing images of the moving object for display to a user.
摘要翻译：描述了使用多个安全摄像机跟踪移动物体的技术。多个相机可以捕获包含移动物体的图像的帧。这些图像可以由相机处理以创建与对象的图像相关联的元数据。每个摄像机的视频馈送和元数据的帧可以被发送到主机系统。主计算机系统可以使用从每个摄像机接收的元数据来确定由摄像机成像的移动物体是否表示相同的移动物体。基于从每个摄像机接收到的元数据中描述的对象的图像的属性，主计算机系统可以选择包含用于显示给用户的移动物体的图像的优选视频馈送。

5. 发明申请

WO2012092472A3 MULTI-RESOLUTION IMAGE DISPLAY 审中-公开
标题翻译：多分辨率图像显示
公开(公告)号：WO2012092472A3
公开(公告)日：2012-10-04
申请号：PCT/US2011067812
申请日：2011-12-29
申请人： PELCO INC , SABLAK SEZAI , MILLAR GREG , AGHDASI FARZIN
发明人： SABLAK SEZAI , MILLAR GREG , AGHDASI FARZIN
IPC分类号： H04N7/18
CPC分类号： H04N7/18 , G08B13/19691 , H04N5/343 , H04N21/2187 , H04N21/47202 , H04N21/4728 , H04N21/6587
摘要： An image display method includes: receiving, from a single camera, first and second image information for first and second captured images captured from different perspectives, the first image information having a first data density; selecting a portion of the first captured image for display with a higher level of detail than other portions of the first captured image, the selected portion corresponding to a first area of the first captured image; displaying the selected portion in a first displayed image, using a second data density relative to the selected portion of the first captured image; and displaying another portion of the first captured image, in a second displayed image, using a third data density; where the another portion of the first captured image is other than the selected portion of the first captured image; and where the third data density is lower than the second data density.
摘要翻译：图像显示方法包括：从单个相机接收用于从不同视角捕获的第一和第二捕获图像的第一和第二图像信息，所述第一图像信息具有第一数据密度; 选择第一拍摄图像的一部分以比第一拍摄图像的其他部分更高的细节水平进行显示，所选择的部分对应于第一拍摄图像的第一区域; 使用相对于所选择的第一拍摄图像的部分的第二数据密度在第一显示图像中显示所选择的部分; 以及使用第三数据密度在第二显示图像中显示所述第一拍摄图像的另一部分; 其中所述第一拍摄图像的另一部分不是所述第一拍摄图像的所选部分; 并且其中第三数据密度低于第二数据密度。

6. 发明申请

WO2013101460A3 CLUSTERING-BASED OBJECT CLASSIFICATION 审中-公开
标题翻译：基于聚类的对象分类
公开(公告)号：WO2013101460A3
公开(公告)日：2013-10-03
申请号：PCT/US2012069148
申请日：2012-12-12
申请人： PELCO INC , ZHU HONGWEI , AGHDASI FARZIN , MILLAR GREG
发明人： ZHU HONGWEI , AGHDASI FARZIN , MILLAR GREG
IPC分类号： G06K9/68
CPC分类号： G06K9/68
摘要： An example of a method for identifying objects in video content according to the disclosure includes receiving video content of a scene captured by a video camera, detecting an object in the video content, identifying a track that the object follows over a series of frames of the video content, extracting object features for the object from the video content, and classifying the object based on the object features. Classifying the object further comprises: determining a track-level classification for the object using spatially invariant object features, determining a global-clustering classification for the object using spatially variant features, and determining an object type for the object based on the track-level classification and the global-clustering classification for the object.
摘要翻译：根据本公开的用于识别视频内容中的对象的方法的示例包括：接收由摄像机捕获的场景的视频内容，检测视频内容中的对象，识别该对象在一系列帧上跟随的轨迹视频内容，从视频内容中提取对象的对象特征，以及基于对象特征对对象进行分类。分类对象还包括：使用空间不变对象特征来确定对象的轨道级分类，使用空间变异特征确定对象的全局聚类分类，以及基于轨道级分类来确定对象的对象类型和对象的全局聚类分类。

7. 发明申请

WO2012092150A3 INFERENCE ENGINE FOR VIDEO ANALYTICS METADATA-BASED EVENT DETECTION AND FORENSIC SEARCH 审中-公开
标题翻译：用于视频分析的信号发生器基于元数据的事件检测和威尔逊搜索
公开(公告)号：WO2012092150A3
公开(公告)日：2013-01-17
申请号：PCT/US2011066974
申请日：2011-12-22
申请人： PELCO INC , ZHU HONGWEI , WANG LEI , YANG SHU , AGHDASI FARZIN , MILLAR GREG
发明人： ZHU HONGWEI , WANG LEI , YANG SHU , AGHDASI FARZIN , MILLAR GREG
IPC分类号： G06K9/46 , G06T7/00
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.
摘要翻译：本公开的实施例提供了用于搜索事件和/或行为的视频数据的系统和方法。推理机可以用于辅助搜索。在一些实施例中，用户可以指定各种搜索标准，例如视频源，要搜索的事件或行为，以及在成功搜索的情况下执行的动作。可以通过分析在视频数据的场景内发现的对象来执行搜索。可以通过用户指定的多个属性来标识对象。一旦从用户接收到搜索标准，就可以接收（或从存储中提取）视频数据，分析指定事件（或行为）的数据，以及在发生成功搜索的情况下执行的指定动作。

8. 发明申请

WO2012092459A3 VIDEO CODING 审中-公开
标题翻译：视频编码
公开(公告)号：WO2012092459A3
公开(公告)日：2012-10-26
申请号：PCT/US2011067787
申请日：2011-12-29
申请人： PELCO INC , MILLAR GREG , AGHDASI FARZIN , WANG LEI , HUANG CHIEN-MIN
发明人： MILLAR GREG , AGHDASI FARZIN , WANG LEI , HUANG CHIEN-MIN
IPC分类号： H04N7/24
CPC分类号： H04N19/23 , G08B13/19667 , H04N7/12 , H04N19/132 , H04N19/137 , H04N19/17 , H04N19/172 , H04N19/174 , H04N19/176 , H04N19/18 , H04N19/20 , H04N19/44 , H04N19/46 , H04N19/587 , H04N19/61 , H04N19/85 , H04N21/2385 , H04N21/2662 , H04N21/4621 , H04N21/64738 , H04N21/64769
摘要： Techniques are discussed for providing mechanisms for coding and transmitting high definition video, e.g., over low bandwidth connections. In particular, foreground-objects are identified as distinct from the background of a scene represented in a plurality of video frames received from a video source, such as a camera. In identifying foreground-objects, semantically significant and semantically insignificant movement (e.g., repetitive versus non-repetitive movement) is differentiated. Processing of the foreground-objects and background proceed at different update rates or frequencies.
摘要翻译：讨论了用于提供用于编码和传输高清晰度视频的机制的技术，例如通过低带宽连接。特别地，前景对象被识别为与从诸如相机的视频源接收的多个视频帧中表示的场景的背景不同。在识别前景对象时，区分语义上重要的和语义上不显着的移动（例如重复对非重复运动）。前景对象和背景的处理以不同的更新速率或频率进行。

9. 发明申请

WO2012092429A3 SEARCHING RECORDED VIDEO 审中-公开
标题翻译：搜索已录制的视频
公开(公告)号：WO2012092429A3
公开(公告)日：2012-10-11
申请号：PCT/US2011067732
申请日：2011-12-29
申请人： PELCO INC , MILLAR GREG , AGHDASI FARZIN , WANG LEI
发明人： MILLAR GREG , AGHDASI FARZIN , WANG LEI
IPC分类号： H04N7/18 , H04N5/76 , H04N5/91
CPC分类号： G06F17/30784 , G06F17/3079 , G06K9/00771 , G06K9/346
摘要： Embodiments of the disclosure provide for systems and methods for creating metadata associated with a video data. The metadata can include data about objects viewed within a video scene and/or events that occur within the video scene. Some embodiments allow users to search for specific objects and/or events by searching the recorded metadata. In some embodiments, metadata is created by receiving a video frame and developing a background model for the video frame. Foreground object(s) can then be identified in the video frame using the background model. Once these objects are identified they can be classified and/or an event associated with the foreground object may be detected. The event and the classification of the foreground object can then be recorded as metadata.
摘要翻译：本公开的实施例提供了用于创建与视频数据相关联的元数据的系统和方法。元数据可以包括关于在视频场景内观看的对象和/或在视频场景内发生的事件的数据。一些实施例允许用户通过搜索记录的元数据来搜索特定的对象和/或事件。在一些实施例中，通过接收视频帧并开发视频帧的背景模型来创建元数据。然后可以使用背景模型在视频帧中识别前景物体。一旦识别出这些对象，就可以对它们进行分类和/或可以检测到与前景对象相关联的事件。然后可以将事件和前景对象的分类记录为元数据。

10. 发明申请

WO2012092488A2 COLOR SIMILARITY SORTING FOR VIDEO FORENSICS SEARCH 审中-公开
标题翻译：彩色相似性分类视频权威搜索
公开(公告)号：WO2012092488A2
公开(公告)日：2012-07-05
申请号：PCT/US2011067872
申请日：2011-12-29
申请人： PELCO INC , WANG LEI , YANG SHU , MILLAR GREG , AGHDASI FARZIN
发明人： WANG LEI , YANG SHU , MILLAR GREG , AGHDASI FARZIN
IPC分类号： G06K9/46
CPC分类号： G06K9/4652 , G06K9/00744 , G06K9/00771 , G06K9/522
摘要： Systems and methods of sorting electronic color images of objects are provided. One method includes receiving an input representation of an object, the representation including pixels defined in a first color space, converting the input image into a second color space, determining a query feature vector including multiple parameters associated with color of the input representation, the query feature vector parameters including at least a first parameter of the first color space and at least a first parameter of the second color space and comparing the query feature vector to multiple candidate feature vectors. Each candidate feature vector includes multiple parameters associated with color of multiple stored candidate images, the candidate feature vector parameters including at least the first parameter from the first color space and at least the first parameter from the second color space. The method further includes determining at least one of the candidate images to be a possible match to the desired object based on the comparison.
摘要翻译：提供了分类物体电子彩色图像的系统和方法。一种方法包括接收对象的输入表示，所述表示包括在第一颜色空间中定义的像素，将输入图像转换为第二颜色空间，确定包括与输入表示的颜色相关联的多个参数的查询特征向量，查询特征向量参数，其包括第一颜色空间的至少第一参数和第二颜色空间的至少第一参数，并将查询特征向量与多个候选特征向量进行比较。每个候选特征向量包括与多个存储的候选图像的颜色相关联的多个参数，候选特征向量参数至少包括来自第一颜色空间的第一参数和至少来自第二颜色空间的第一参数。该方法还包括基于该比较来确定候选图像中的至少一个是与期望对象的可能匹配。

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