公开(公告)号：US20090002155A1

公开(公告)日：2009-01-01

申请号：US11823166

申请日：2007-06-27

申请人： Yunqian Ma ,  Rand P. Whillock ,  Bruce W. Anderson

发明人： Yunqian Ma ,  Rand P. Whillock ,  Bruce W. Anderson

IPC分类号： G08B1/08

CPC分类号： G07C9/00111

摘要： An event detection system includes a processor, an electronic tracking device, and one or more transmitters. Each of the one or more transmitters can be configured to be associated with a particular individual of a group of individuals. The processor can be configured to cluster data from the one or more transmitters, and the processor can be configured to analyze the clustered data to determine one or more behavior patterns among the group of individuals. In an embodiment, video data can be combined with the electronic tracking device data in the event detection system.

摘要翻译： 事件检测系统包括处理器，电子跟踪装置和一个或多个发射器。 一个或多个发射器中的每一个可以被配置为与一组个体的特定个体相关联。 处理器可以被配置为聚集来自一个或多个发射机的数据，并且处理器可以被配置为分析群集数据以确定该群体中的一个或多个行为模式。 在一个实施例中，视频数据可以与事件检测系统中的电子跟踪设备数据组合。

公开(公告)号：US20070121999A1

公开(公告)日：2007-05-31

申请号：US11287627

申请日：2005-11-28

申请人： Yunqian Ma ,  Michael Bazakos

发明人： Yunqian Ma ,  Michael Bazakos

IPC分类号： G06K9/00

CPC分类号： G06K9/00771 ,  G06K9/00342 ,  G06T7/254

摘要： A system and method detects the intent and/or motivation of two or more persons or other animate objects in a video scene. In one embodiment, the system forms a blob of the two or more persons, draws a bounding box around said blob, calculates an entropy value for said blob, and compares that entropy value to a threshold to determine if the two or more persons are involved in a fight or other altercation.

摘要翻译： 系统和方法检测视频场景中两个或多个人或其他动画对象的意图和/或动机。 在一个实施例中，系统形成两个或更多个人的斑块，在所述斑点周围绘制边界框，计算所述斑点的熵值，并将该熵值与阈值进行比较，以确定是否涉及两个或多个人 在一场战斗或其他的争吵中。

公开(公告)号：US09157743B2

公开(公告)日：2015-10-13

申请号：US13552174

申请日：2012-07-18

申请人： Yunqian Ma ,  Michael Ray Elgersma

发明人： Yunqian Ma ,  Michael Ray Elgersma

IPC分类号： G06F17/00 ,  G01P15/02 ,  G01C21/00 ,  G01S17/89 ,  G01S5/02 ,  G01S17/93

CPC分类号： G01C21/005 ,  G01S5/0252 ,  G01S17/89 ,  G01S17/936

摘要： A system is provided for correlating evidence grids. In certain embodiments, the system includes a sensor that generates signals describing a current section of an environment; a memory configured to store measurements of historical sections of the environment; and a processor coupled to the sensor and configured to calculate navigation parameters based on signals received from the sensor. Further, the processor converts the signals received from the sensor into a current evidence grid and removes data from the current evidence grid to form a reduced evidence grid; converts the measurements of historical sections into a historical evidence grid; and correlates the reduced evidence grid with the historical evidence grid by adjusting position and orientation of the reduced evidence grid and the historical evidence grid in relation to one another and calculating correlative values, and searching for a highest correlative value.

摘要翻译： 提供了一种用于关联证据网格的系统。 在某些实施例中，系统包括产生描述环境的当前部分的信号的传感器; 被配置为存储环境的历史部分的测量值的存储器; 以及耦合到所述传感器并被配置为基于从所述传感器接收的信号来计算导航参数的处理器。 此外，处理器将从传感器接收的信号转换成当前的证据网格，并从当前证据网格中移除数据以形成减少的证据网格; 将历史部分的测量转换为历史证据网格; 并通过调整相对较少的证据网格和历史证据网格的位置和方向，计算相关值，并搜索最高的相关值，将减少的证据格网与历史证据格网相关联。

公开(公告)号：US09037411B2

公开(公告)日：2015-05-19

申请号：US13469356

申请日：2012-05-11

申请人： Vibhor L. Bageshwar ,  Yunqian Ma ,  Shrikant Rao

发明人： Vibhor L. Bageshwar ,  Yunqian Ma ,  Shrikant Rao

IPC分类号： G08G1/123 ,  G01C21/10 ,  G01C17/38 ,  G01C21/16 ,  G01C21/20

CPC分类号： G01C17/38 ,  G01C21/165 ,  G01C21/20

摘要： Systems and methods are provided for selecting landmarks for navigation. In one embodiment, a system comprises an IMU that provides inertial measurements for a vehicle and at least one image sensor that acquires measurements of the vehicle's environment. The system also comprises a processing unit that calculates a navigation solution for the vehicle based on the inertial measurements, identifies a plurality of landmarks in the acquired measurements, and identifies a plurality of usable landmarks from the plurality of landmarks. The processing unit also selects a subset of useable landmarks from the plurality of useable landmarks such that the subset of landmarks has a smaller dilution of precision (DOP) than other possible subsets of landmarks from the plurality of useable landmarks, and calculates an updated navigation solution from the subset of landmarks. The DOP is an amplification factor of measurement errors derived from the geometry of the subset of useable landmarks.

摘要翻译： 提供了系统和方法来选择用于导航的地标。 在一个实施例中，系统包括为车辆提供惯性测量的IMU和获取车辆环境的测量值的至少一个图像传感器。 该系统还包括一个处理单元，该处理单元基于惯性测量来计算车辆的导航解，识别所获取的测量中的多个地标，并从多个地标中识别出多个可用地标。 所述处理单元还从所述多个可用地标中选择可使用地标的子集，使得所述地标子集具有比来自所述多个可用地标的其他可能的地标子集更小的精度稀释（DOP），并计算更新的导航解 从地标的子集。 DOP是从可用地标的子集的几何导出的测量误差的放大因子。

公开(公告)号：US08660338B2

公开(公告)日：2014-02-25

申请号：US13053777

申请日：2011-03-22

申请人： Yunqian Ma ,  Benjamin Mohr

发明人： Yunqian Ma ,  Benjamin Mohr

IPC分类号： G06K9/00

CPC分类号： G06T7/593 ,  G06T2207/10021 ,  G06T2207/10032 ,  G06T2207/30181 ,  G06T2207/30252

摘要： A method for wide baseline feature matching comprises capturing one or more images from an image sensor on each of two or more platforms when the image sensors have overlapping fields of view, performing a 2-D feature extraction on each of the captured images in each platform using local 2-D image feature descriptors, and calculating 3-D feature locations on the ellipsoid of the Earth surface from the extracted features using a position and attitude of the platform and a model of the image sensor. The 3-D feature locations are updated using digital terrain elevation data (DTED) as a constraint, and the extracted features are matched using the updated 3-D feature locations to create a common feature zone. A subset of features from the common feature zone is selected, and the subset of features is inputted into a collaborative filter in each platform. A convergence test is then performed on other subsets in the common feature zone, and falsely matched features are pruned from the common feature zone.

摘要翻译： 用于宽基线特征匹配的方法包括：当图像传感器具有重叠视场时，在两个或多个平台中的每一个上从图像传感器捕获一个或多个图像，在每个平台中的每个捕获图像上执行2-D特征提取 使用局部二维图像特征描述符，并使用平台的位置和姿态以及图像传感器的模型，从提取的特征中计算地球表面椭球上的3-D特征位置。 使用数字地形高程数据（DTED）作为约束来更新3-D特征位置，并且使用更新的3-D特征位置来匹配提取的特征以创建公共特征区域。 选择来自公共特征区域的特征的子集，并且将特征子集输入到每个平台中的协作过滤器中。 然后在公共特征区域中的其他子集上执行收敛测试，并且从公共特征区域修剪错误匹配的特征。

公开(公告)号：US20130179112A1

公开(公告)日：2013-07-11

申请号：US13346241

申请日：2012-01-09

申请人： Yunqian Ma ,  Kyle Zakrzewski

发明人： Yunqian Ma ,  Kyle Zakrzewski

IPC分类号： G01P15/04 ,  G06F17/14 ,  G06F15/00

CPC分类号： G01C22/006 ,  G01C21/206

摘要： A method to accurately detect true peaks and true valleys in a real-time incoming signal is provided. The method includes segmenting the real-time incoming signal into short-time intervals; determining an initial estimated frequency by fast Fourier transforming data in the short-time intervals, setting a sliding window width based on the initial estimated frequency, determining at least one peak data element or valley data element based on analysis of the real-time incoming signal within a first sliding window; and determining at least one peak data element or valley data element based on analysis of the real-time incoming signal within a second sliding window. A first portion of the second sliding window overlaps a second portion of the first sliding window.

摘要翻译： 提供了一种准确检测实时输入信号中真实峰值和真实谷值的方法。 该方法包括将实时输入信号分段成短时间间隔; 通过在短时间间隔内快速傅里叶变换数据来确定初始估计频率，基于初始估计频率设置滑动窗口宽度，基于实时输入信号的分析确定至少一个峰值数据元素或谷值数据元素 在第一滑动窗内; 以及基于第二滑动窗口内的实时输入信号的分析来确定至少一个峰值数据元素或谷值数据元素。 第二滑动窗口的第一部分与第一滑动窗口的第二部分重叠。

公开(公告)号：US08428345B2

公开(公告)日：2013-04-23

申请号：US12716940

申请日：2010-03-03

申请人： Yunqian Ma ,  Scott McCloskey

发明人： Yunqian Ma ,  Scott McCloskey

IPC分类号： G06K9/62

CPC分类号： G06K9/00718 ,  G06F17/3079

摘要： A system for meta-classification having a training phase mechanism and an operational phase mechanism. The training phase mechanism may have a detection and tracking module, a classifier section connected to the detection and tracking module, a feature synthesis module connected to the classifier section, a labeling module connected to the feature synthesis module and a training data module connected to the labeling module. The operational phase mechanism may have a detection and tracking module, a classifier section connected to the detection and tracking module, a feature synthesis module connected to the classifier section and a meta-classification module connected to the feature synthesis module and the training module. The training phase mechanism may provide parameters and settings to the operational phase mechanism.

摘要翻译： 一种具有训练相位机制和操作相位机制的元分类系统。 训练阶段机制可以具有检测和跟踪模块，连接到检测和跟踪模块的分类器部分，连接到分类器部分的特征综合模块，连接到特征合成模块的标签模块和连接到特征综合模块的训练数据模块 标签模块 操作阶段机制可以具有检测和跟踪模块，连接到检测和跟踪模块的分类器部分，连接到分类器部分的特征合成模块和连接到特征合成模块和训练模块的元分类模块。 训练阶段机制可以为操作阶段机制提供参数和设置。

公开(公告)号：US20100308993A1

公开(公告)日：2010-12-09

申请号：US12850294

申请日：2010-08-04

申请人： Yunqian Ma ,  Rand P. Whillock ,  Bruce W. Anderson

发明人： Yunqian Ma ,  Rand P. Whillock ,  Bruce W. Anderson

IPC分类号： G08B1/08 ,  G08B13/14

CPC分类号： G07C9/00111

摘要： An event detection system includes a processor, an electronic tracking device, and one or more transmitters. Each of the one or more transmitters can be configured to be associated with a particular individual of a group of individuals. The processor can be configured to cluster data from the one or more transmitters, and the processor can be configured to analyze the clustered data to determine a group behavior pattern among the group of individuals. In an embodiment, video data can be combined with the electronic tracking device data in the event detection system.

摘要翻译： 事件检测系统包括处理器，电子跟踪装置和一个或多个发射器。 一个或多个发射器中的每一个可以被配置为与一组个体的特定个体相关联。 处理器可以被配置为对来自一个或多个发射机的数据进行聚类，并且处理器可以被配置为分析群集数据以确定群体中的群体行为模式。 在一个实施例中，视频数据可以与事件检测系统中的电子跟踪设备数据组合。

公开(公告)号：US20080204569A1

公开(公告)日：2008-08-28

申请号：US11845439

申请日：2007-08-27

申请人： Ben A. Miller ,  Isaac Cohen ,  Yunqian Ma ,  Roland Miezianko

发明人： Ben A. Miller ,  Isaac Cohen ,  Yunqian Ma ,  Roland Miezianko

IPC分类号： H04N5/228

CPC分类号： G06K9/00771 ,  G06F17/3079 ,  G06F17/30831 ,  G06K9/00711 ,  G11B27/105 ,  G11B27/28 ,  G11B27/34 ,  H04N5/76 ,  H04N5/765 ,  H04N21/234318 ,  H04N21/26603

摘要： A seed search of a subset of analytical data corresponding to video objects displayable in a plurality of video frames is carried out to identify video objects that most closely match a selected video object and then complete searches of the analytical data may be carried out so as to identify video objects that most closely match each video object identified during the seed search. The video objects having the greatest number of occurrences of being identified during the complete searches may be displayed by a graphical user interface (GUI). In this way, the GUI may display the video objects in an order based on how closely each video object matches the selected video object and/or a video object identified during the seed search, which may an order different than an order based on a time when each video object was captured.

摘要翻译： 执行对应于可在多个视频帧中显示的视频对象的分析数据的子集的种子搜索，以识别与所选择的视频对象最匹配的视频对象，然后可以完成对分析数据的完整搜索，以便 识别与种子搜索期间识别的每个视频对象最匹配的视频对象。 可以通过图形用户界面（GUI）显示在整个搜索期间被识别出最多出现次数的视频对象。 以这种方式，GUI可以基于每个视频对象与选择的视频对象和/或种子搜索期间识别的视频对象的密切程度相关联地显示视频对象，其可以与基于时间的顺序不同的顺序 当每个视频对象被捕获。

公开(公告)号：US20070177792A1

公开(公告)日：2007-08-02

申请号：US11343658

申请日：2006-01-31

申请人： Yunqian Ma ,  Michael Bazakos

发明人： Yunqian Ma ,  Michael Bazakos

IPC分类号： G06K9/62

CPC分类号： G06K9/00348

摘要： In an embodiment, one or more sequences of learning video data is provided. The learning video sequences include an action. One or more features of the action are extracted from the one or more sequences of learning video data. Thereafter, a reception of a sequence of operational video data is enabled, and an extraction of the one or more features of the action from the sequence of operational video data is enabled. A comparison is then enabled between the extracted one or more features of the action from the one or more sequences of learning video data and the one or more features of the action from the sequence of operational video data. In an embodiment, this comparison allows the determination of whether the action in present in the operational video data.

摘要翻译： 在一个实施例中，提供学习视频数据的一个或多个序列。 学习视频序列包括动作。 从学习视频数据的一个或多个序列中提取动作的一个或多个特征。 此后，启用操作视频数据序列的接收，并且能够从操作视频数据序列中提取动作的一个或多个特征。 然后，从所述学习视频数据的一个或多个序列以及来自所述操作视频数据序列的所述动作的所述一个或多个特征，提取所述动作的一个或多个特征之间的比较。 在一个实施例中，该比较允许确定当前在操作视频数据中的动作。