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    • 2. 发明申请
    • SCENE ACTIVITY ANALYSIS USING STATISTICAL AND SEMANTIC FEATURES LEARNT FROM OBJECT TRAJECTORY DATA
    • 使用从对象轨迹数据学习的统计和语义特征的场景活动分析
    • US20120170802A1
    • 2012-07-05
    • US12981952
    • 2010-12-30
    • Greg MillarFarzin AghdasiHongwei Zhu
    • Greg MillarFarzin AghdasiHongwei Zhu
    • G06K9/00
    • G06K9/00785
    • 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.
    • 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。
    • 3. 发明申请
    • Electronic album with television reception functions
    • 具有电视接收功能的电子专辑
    • US20060256243A1
    • 2006-11-16
    • US10567481
    • 2003-09-19
    • Ziming ShenZhiyong TangHongwei Zhu
    • Ziming ShenZhiyong TangHongwei Zhu
    • H04N5/46
    • H04N5/4401H04N21/414H04N21/42221H04N21/4318H04N21/439H04N21/482H04N21/4852H04N21/4854H04N21/4856H04N21/8113H04N21/8153
    • The present invention has disclosed an electronic image frame having the function of TV receiving comprising A/D conversion unit, video decoding unit, signal processing unit, display unit, TV signal tuning unit, multimedia player processing unit, audio processing unit, and microprocessor. The TV RF signal receiving and the playing back of multimedia information in the present electronic image frame have utilized the function units: A/D conversion, video frequency decoding, signal processing, microprocessor, and display and audio processing, which is not only a complete TV set with all the TV receiving functions and common interfaces, such as AV interface, S-VIDEO interface etc., but also can realize the function of an electronic image frame, including: playing picture, music, video files; playing background music while a picture is on show; rotating, amplifying, and automatic displaying; having flexibility for various picture formats and audio and video modes with enhanced functions and practicability.
    • 本发明公开了一种具有TV接收功能的电子图像帧,包括A / D转换单元,视频解码单元,信号处理单元,显示单元,TV信号调谐单元,多媒体播放器处理单元,音频处理单元和微处理器。 本电子图像帧中的电视RF信号接收和多媒体信息的回放利用了功能单元:A / D转换,视频解码,信号处理,微处理器以及显示和音频处理,这不仅是一个完整的 电视机具有所有的电视接收功能和通用接口,如AV接口,S-VIDEO接口等,还可以实现电子图像帧的功能,包括:播放图片,音乐,视频文件; 在拍照时播放背景音乐; 旋转,放大和自动显示; 具有各种图像格式和具有增强功能和实用性的音视频模式的灵活性。
    • 4. 发明授权
    • Method and apparatus for optically determining physical parameters of thin films deposited on a complex substrate
    • 用于光学确定沉积在复合衬底上的薄膜的物理参数的方法和装置
    • US06392756B1
    • 2002-05-21
    • US09336404
    • 1999-06-18
    • Guoguang LiHongwei ZhuDale A. HarrisonAbdul Rahim ForouhiWeilu Xu
    • Guoguang LiHongwei ZhuDale A. HarrisonAbdul Rahim ForouhiWeilu Xu
    • G01B1106
    • G01B11/0641
    • A method and an apparatus for optically determining a physical parameter such as thickness t, index of refraction n, extinction coefficient k or a related physical parameter such as energy bandgap Eg of a thin film. A test beam having a wavelength range &Dgr;&lgr; is used to illuminate the thin film after it is deposited on a complex substrate which has at least two layers and exhibits a non-monotonic and an appreciably variable substrate optical response over wavelength range &Dgr;&lgr;. Alternatively, the thin film can be deposited between the at least two layers of the complex substrate. A measurement of a total optical response, consisting of the substrate optical response and an optical response difference due to the thin film is performed over wavelength range &Dgr;&lgr;. The at least two layers making up the complex substrate are chosen such that the effect of multiple internal reflections in the complex substrate and the film is maximized. The physical parameters are determined from the total optical response which can be in the form of a reflected and/or a transmitted beam.
    • 用于光学地确定诸如厚度t,折射率n,消光系数k或相关物理参数(诸如薄膜的能带隙Eg)的物理参数的方法和装置。 具有波长范围DELTAlambd的测试光束在其沉积在具有至少两层的复合衬底上并且在波长范围DELTAlambd上表现出非单调和可观的可变衬底光学响应之后,用于照射薄膜。 或者,薄膜可以沉积在复合基板的至少两层之间。 在波长范围DELTAlambd上执行由基板光学响应和由薄膜引起的光学响应差异的总光学响应的​​测量。 选择构成复合衬底的至少两层,使得复合衬底和膜中的多次内部反射的影响最大化。 物理参数由可以是反射和/或透射束形式的总光学响应确定。
    • 8. 发明授权
    • Clustering-based object classification
    • 基于聚类的对象分类
    • US08744125B2
    • 2014-06-03
    • US13338617
    • 2011-12-28
    • Hongwei ZhuFarzin AghdasiGreg Millar
    • Hongwei ZhuFarzin AghdasiGreg Millar
    • G06K9/00
    • 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,识别该对象在一系列帧上跟随的轨迹 视频内容,从视频内容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确定对象的对象类型 和对象的全局聚类分类。
    • 9. 发明申请
    • CONTEXT AWARE MOVING OBJECT DETECTION
    • 背景知识移动物体检测
    • US20130176430A1
    • 2013-07-11
    • US13345228
    • 2012-01-06
    • Hongwei ZhuFarzin AghdasiGreg MillarLei Wang
    • Hongwei ZhuFarzin AghdasiGreg MillarLei Wang
    • H04N7/18
    • 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。
    • 10. 发明申请
    • Cloud-Based Video Surveillance Management System
    • 基于云的视频监控管理系统
    • US20130166711A1
    • 2013-06-27
    • US13335591
    • 2011-12-22
    • Lei WangHongwei ZhuFarzin AghdasiGreg Millar
    • Lei WangHongwei ZhuFarzin AghdasiGreg Millar
    • G06F15/173
    • G08B13/19671G08B13/19643G08B13/19645G08B13/19656H04N7/181H04N21/44008H04N21/4828H04N21/8133
    • Systems and methods are described herein that provide a three-tier intelligent video surveillance management system. An example of a system described herein includes a gateway configured to obtain video content and metadata relating to the video content from a plurality of network devices, a metadata processing module communicatively coupled to the gateway and configured to filter the metadata according to one or more criteria to obtain a filtered set of metadata, a video processing module communicatively coupled to the gateway and the metadata processing module and configured to isolate video portions, of video the content, associated with respective first portions of the filtered set of metadata, and a cloud services interface communicatively coupled to the gateway, the metadata processing module and the video processing module and configured to provide at least some of the filtered set of metadata or the isolated video portions to a cloud computing service.
    • 本文描述了提供三层智能视频监控管理系统的系统和方法。 本文描述的系统的示例包括被配置为从多个网络设备获取与视频内容相关的视频内容和元数据的网关,通信地耦合到网关并被配置为根据一个或多个标准过滤元数据的元数据处理模块 以获得过滤的元数据集合,通信地耦合到网关和元数据处理模块的视频处理模块,并且被配置为将与所筛选的元数据集合的相应第一部分相关联的视频内容的视频部分隔离,以及云服务 接口,通信地耦合到网关,元数据处理模块和视频处理模块,并且被配置为向云计算服务提供过滤的元数据集合或孤立视频部分中的至少一些。