会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 31. 发明授权
    • Area monitoring using prototypical tracks
    • 使用原型轨道进行区域监控
    • US08614744B2
    • 2013-12-24
    • US12176538
    • 2008-07-21
    • Lisa M. BrownArun HampapurAndrew W. SeniorChiao-Fe ShuYing-li Tian
    • Lisa M. BrownArun HampapurAndrew W. SeniorChiao-Fe ShuYing-li Tian
    • H04N7/18G08B13/00G06K9/00G01C23/00
    • G08B13/19613
    • A solution for monitoring an area includes using a region schema for the area. The region schema can include a set of prototypical tracks, each of which includes a start location, an end location, and a trajectory. The trajectory comprises an expected path an object will travel between the start location and the end location and can include variation information that defines an amount that an object can vary from the trajectory. The region schema can be generated by obtaining training object tracking data for the area for an initialization time period and evaluating the object tracking data to identify the set of prototypical tracks. While monitoring the area, monitored object tracking data is obtained for a monitored object in the area, and abnormal behavior of the monitored object is identified when the monitored object tracking data for the monitored object does not follow at least one of the set of prototypical tracks in the region schema.
    • 用于监视区域的解决方案包括为区域使用区域模式。 区域模式可以包括一组原型轨道,每个轨道包括起始位置,终点位置和轨迹。 轨迹包括对象将在起始位置和结束位置之间行进的预期路径,并且可以包括定义对象可以从轨迹变化的量的变化信息。 可以通过获取用于初始化时间段的区域的训练对象跟踪数据并且评估对象跟踪数据来识别该组原型轨迹来生成区域模式。 在监视该区域时,为该区域中被监视对象获得被监视对象跟踪数据,并且当监视对象的被监视对象跟踪数据不遵循该组原型轨道中的至少一个时,监视对象的异常行为被识别 在区域模式。
    • 38. 发明申请
    • FILTER SEQUENCING BASED ON A PUBLISH-SUBSCRIBE ARCHITECTURE FOR DIGITAL SIGNAL PROCESSING
    • 基于用于数字信号处理的发布 - 订阅架构的滤波器排序
    • US20080235246A1
    • 2008-09-25
    • US11688287
    • 2007-03-20
    • Arun HampapurZuoxuan LuYing-Li Tian
    • Arun HampapurZuoxuan LuYing-Li Tian
    • G06F17/00
    • G06Q10/06
    • In general, the present invention allows any number of sequential filter graphs to be created based on a pub-sub architecture/model. Specifically, under the present invention, the filters (components) will publish their ideal priorities of accessing data source, an ideal input data type, and a unique alternative input data type. A mechanism such as a queue manager will receive the publication(s) and determine an appropriate order/sequence of the filters based on their ideal priorities. The queue manager will also assign an output data type to each filter (an optionally an alternative output data type) based on the ideal input types specified in the publish messages. The queue manager will then transmit messages (e.g., a subscribe message) to the filters with the determined order and assigned data types.
    • 通常,本发明允许基于公共子体系结构/模型创建任意数量的顺序过滤器图形。 具体来说,在本发明中,滤波器(组件)将公布其访问数据源,理想输入数据类型和唯一替代输入数据类型的理想优先级。 诸如队列管理器的机制将接收出版物,并根据其理想的优先级确定过滤器的适当顺序/顺序。 队列管理器还将根据发布消息中指定的理想输入类型为每个过滤器(可选地,替代的输出数据类型)分配输出数据类型。 然后,队列管理器将以确定的顺序和分配的数据类型将消息(例如,订阅消息)发送到过滤器。
    • 39. 发明授权
    • Key frame selection
    • 关键帧选择
    • US08107015B1
    • 2012-01-31
    • US08870836
    • 1997-06-06
    • Arun HampapurMojgan Monika GorkaniChiao-Fe ShuAmarnath Gupta
    • Arun HampapurMojgan Monika GorkaniChiao-Fe ShuAmarnath Gupta
    • H04N7/18
    • G11B27/28H04N5/147
    • A system and method that processes video to extract a keyframe-based adequate visual representation. The method utilizes a hierarchical processing technique. The first stage in the hierarchy extracts a chromatic difference metric from a pair of video frames. An initial set of frames is chosen based on the chromatic metric and a threshold. A structural difference measurement is extracted from this initial set of frames. A second threshold is used to select key frames from the initial set. The first and second thresholds are user selectable. The output of this process is the visual representation. The method is extensible to any number of metrics and any number of levels.
    • 一种处理视频以提取基于关键帧的足够视觉表示的系统和方法。 该方法采用分层处理技术。 层次中的第一阶段从一对视频帧中提取色差度量。 基于色度度量和阈值来选择一组初始帧。 从该初始帧组提取结构差异测量。 第二个阈值用于从初始集合中选择关键帧。 第一和第二阈值是用户可选择的。 该过程的输出是视觉表示。 该方法可扩展到任何数量的度量和任意数量的级别。