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    • 1. 发明申请
    • CONTEXT AWARE MOVING OBJECT DETECTION
    • 背景知识移动物体检测
    • WO2013103591A1
    • 2013-07-11
    • PCT/US2012/071967
    • 2012-12-28
    • PELCO, INC.ZHU, HongweiAGHDASI, FarzinMILLAR, GregWANG, Lei
    • ZHU, HongweiAGHDASI, FarzinMILLAR, GregWANG, Lei
    • G06T7/20
    • G06T7/2053G06T7/254G06T2207/10016G06T2207/30196G06T2207/30232
    • An image capture system includes: an image capture unit configured to capture a first image frame comprising a set of pixels; and a processor coupled to the image capture unit and configured to: determine a normalized distance of a pixel characteristic between the first image frame and a second image frame for each pixel in the first image frame; compare the normalized distance for each pixel in the first image frame against a pixel sensitivity value for that pixel; determine that a particular pixel of the first image frame is a foreground or background pixel based on the normalized distance of the particular pixel relative to the pixel sensitivity value for the particular pixel; and adapt the pixel sensitivity value for each pixel over a range of allowable pixel sensitivity values.
    • 图像拍摄系统包括:图像拍摄单元,被配置为捕获包括一组像素的第一图像帧; 以及处理器,其耦合到所述图像捕获单元并且被配置为:确定所述第一图像帧中的每个像素的所述第一图像帧和第二图像帧之间的像素特性的归一化距离; 将第一图像帧中的每个像素的归一化距离与该像素的像素灵敏度值进行比较; 基于特定像素相对于特定像素的像素灵敏度值的归一化距离,确定第一图像帧的特定像素是前景或背景像素; 并且在允许的像素灵敏度值的范围内适应每个像素的像素灵敏度值。
    • 3. 发明申请
    • CLOUD-BASED VIDEO SURVEILLANCE MANAGEMENT SYSTEM
    • 基于云的视频监控管理系统
    • WO2013095773A1
    • 2013-06-27
    • PCT/US2012/062114
    • 2012-10-26
    • PELCO, INC.WANG, LeiZHU, HongweiAGHDASI, FarzinMILLAR, Greg
    • WANG, LeiZHU, HongweiAGHDASI, FarzinMILLAR, Greg
    • G08B25/08G08B13/196
    • G08B13/19671G08B13/19643G08B13/19645G08B13/19656H04N7/181H04N21/44008H04N21/4828H04N21/8133
    • An example of a system described herein includes a gateway (52) configured to obtain video content and metadata relating to the video content from a plurality of network devices (20, 42), a metadata processing module (82) communicatively coupled to the gateway (52) and configured to filter the metadata according to one or more criteria to obtain a filtered set of metadata, a video processing module (80) communicatively coupled to the gateway (52) and the metadata processing module (82) and configured to isolate video portions, of the video content, associated with respective first portions of the filtered set of metadata, and a cloud services interface (86) communicatively coupled to the gateway (52), the metadata processing module (82) and the video processing module (80) and configured to provide at least some of the filtered set of metadata or the isolated video portions to a cloud computing service (90).
    • 本文描述的系统的示例包括网关(52),其被配置为从多个网络设备(20,42)获得与视频内容相关的视频内容和元数据,元数据处理模块(82),通信地耦合到网关( 并且被配置为根据一个或多个标准来过滤所述元数据以获得经过滤的集合的元数据,视频处理模块(80),其通信地耦合到所述网关(52)和所述元数据处理模块(82),并且被配置为隔离视频 与所述经过滤的元数据集合的相应第一部分相关联的所述视频内容的部分,以及通信地耦合到所述网关(52)的云服务接口(86),所述元数据处理模块(82)和所述视频处理模块 ),并且被配置为向所述云计算服务(90)提供所述过滤的元数据集合或所述隔离视频部分中的至少一些。
    • 5. 发明申请
    • CLUSTERING-BASED OBJECT CLASSIFICATION
    • 基于聚类的对象分类
    • WO2013101460A2
    • 2013-07-04
    • PCT/US2012/069148
    • 2012-12-12
    • PELCO, INC.ZHU, HongweiAGHDASI, FarzinMILLAR, Greg
    • ZHU, HongweiAGHDASI, FarzinMILLAR, Greg
    • G06K9/68
    • G06K9/68
    • 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.
    • 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;识别对象 跟随视频内容的一系列帧,从视频内容中提取对象的对象特征,并基于对象特征对对象进行分类。 对对象进行分类还包括:使用空间不变对象特征确定对象的轨迹级分类,使用空间变化特征确定对象的全局聚类分类,以及基于轨迹级分类确定对象的对象类型 以及该对象的全局聚类分类。
    • 8. 发明申请
    • SEARCHING RECORDED VIDEO
    • 搜索录制的视频
    • WO2012092451A2
    • 2012-07-05
    • PCT/US2011/067769
    • 2011-12-29
    • PELCO INC.MILLAR, GregAGHDASI, FarzinWANG, Lei
    • MILLAR, GregAGHDASI, FarzinWANG, Lei
    • H04N7/18H04N5/76
    • G06F17/3079
    • 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.
    • 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的数据和/或在视频场景内发生的事件。 一些实施例允许用户通过搜索记录的元数据来搜索特定对象和/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对象。 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。