公开(公告)号：US20070122040A1

公开(公告)日：2007-05-31

申请号：US11289886

申请日：2005-11-30

申请人： Kwong Au ,  Michael Bazakos ,  Yunqian Ma

发明人： Kwong Au ,  Michael Bazakos ,  Yunqian Ma

IPC分类号： G06K9/62 ,  G06K9/46

CPC分类号： G06K9/00771 ,  G06K9/46

摘要： An image is processed by a sensed-feature-based classifier to generate a list of objects assigned to classes. The most prominent objects (those objects whose classification is most likely reliable) are selected for range estimation and interpolation. Based on the range estimation and interpolation, the sensed features are converted to physical features for each object. Next, that subset of objects is then run through a physical-feature-based classifier that re-classifies the objects. Next, the objects and their range estimates are re-run through the processes of range estimation and interpolation, sensed-feature-to-physical-feature conversion, and physical-feature-based classification iteratively to continuously increase the reliability of the classification as well as the range estimation. The iterations are halted when the reliability reaches a predetermined confidence threshold. In a preferred embodiment, a next subset of objects having the next highest prominence in the same image is selected and the entire iterative process is repeated. This set of iterations will include evaluation of both of the first and second subsets of objects. The process can be repeated until all objects have been classified.

摘要翻译： 图像由基于感测特征的分类器处理以生成分配给类的对象的列表。 选择最突出的对象（那些分类最可靠的对象）用于范围估计和插值。 基于范围估计和内插，感测到的特征被转换为每个对象的物理特征。 接下来，该对象的子集然后通过基于物理特征的分类器来运行，该分类器重新分类对象。 接下来，通过范围估计和插值，感测特征到物理特征转换和基于物理特征的分类的过程重新运行对象及其范围估计，以不断提高分类的可靠性 作为范围估计。 当可靠性达到预定的置信阈值时，迭代停止。 在优选实施例中，选择具有相同图像中的下一个最高突出的对象的下一个子集，并重复整个迭代过程。 这组迭代将包括评估对象的第一和第二子集。 可以重复该过程，直到所有对象都被分类为止。

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：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。

公开(公告)号：US20060285723A1

公开(公告)日：2006-12-21

申请号：US11154839

申请日：2005-06-16

申请人： Vassilios Morellas ,  Michael Bazakos ,  Yunqian Ma ,  Andrew Johnson

发明人： Vassilios Morellas ,  Michael Bazakos ,  Yunqian Ma ,  Andrew Johnson

IPC分类号： G06K9/00 ,  H04N7/18

CPC分类号： G06K9/32 ,  G06K9/00369 ,  G06K9/00771 ,  G06T7/246 ,  G06T7/254 ,  G06T7/292

摘要： A system for tracking objects across an area having a network of cameras with overlapping and non-overlapping fields of view. The system may use a combination of color, shape, texture and/or multi-resolution histograms for object representation or target modeling for the tacking of an object from one camera to another. The system may include user and output interfacing.

摘要翻译： 一种用于在具有重叠和非重叠视场的摄像机网络的区域上跟踪对象的系统。 系统可以使用颜色，形状，纹理和/或多分辨率直方图的组合来进行对象表示或目标建模，用于将对象从一个摄像机固定到另一个摄像机。 该系统可以包括用户和输出接口。

公开(公告)号：US20060233461A1

公开(公告)日：2006-10-19

申请号：US10907877

申请日：2005-04-19

申请人： Yunqian Ma ,  Michael Bazakos ,  KwongWing Au

发明人： Yunqian Ma ,  Michael Bazakos ,  KwongWing Au

IPC分类号： G06K9/36

CPC分类号： G06K9/32 ,  G06K9/00624 ,  G06K9/2081 ,  G06K2209/40 ,  G06T7/50

摘要： Systems and methods for transforming two-dimensional image data into a 3D dense range map are disclosed. An illustrative method may include the steps of acquiring at least one image frame from an image sensor, selecting at least one region of interest within the image frame, determining the geo-location of three or more reference points within each selected region of interest, and transforming 2D image domain data from each selected region of interest into a 3D dense range map containing physical features of one or more objects within the image frame. The 3D dense range map can be used to calculate physical feature vectors of objects disposed within each defined region of interest. An illustrative video surveillance system may include an image sensor adapted to acquire images from at least one region of interest, a graphical user interface for displaying images acquired from the image sensor within an image frame, and a processor for determining the geo-location of one ore more objects within the image frame. The processor can be configured to run an algorithm or routine adapted to transform two-dimensional data received from the image sensor into a 3D range map containing physical features of one or more objects within the image frame.

摘要翻译： 公开了将二维图像数据转换为3D密集范围图的系统和方法。 说明性方法可以包括以下步骤：从图像传感器获取至少一个图像帧，在图像帧内选择至少一个感兴趣区域，确定每个所选择的感兴趣区域内的三个或更多个参考点的地理位置，以及 将来自每个所选择的感兴趣区域的2D图像域数据转换成包含所述图像帧内的一个或多个对象的物理特征的3D密集范围图。 3D密集范围图可用于计算设置在每个定义的感兴趣区域内的物体的物理特征向量。 说明性视频监视系统可以包括适于从至少一个感兴趣区域获取图像的图像传感器，用于显示从图像帧内的图像传感器获取的图像的图形用户界面，以及用于确定一个图像的地理位置的处理器 在图像框架内更多的物体。 处理器可以被配置为运行适于将从图像传感器接收的二维数据转换成包含图像帧内的一个或多个对象的物理特征的3D范围图的算法或程序。

公开(公告)号：US20060053342A1

公开(公告)日：2006-03-09

申请号：US10938244

申请日：2004-09-09

申请人： Michael Bazakos ,  Yunqian Ma ,  Vassilios Morellas

发明人： Michael Bazakos ,  Yunqian Ma ,  Vassilios Morellas

IPC分类号： G06F11/00

CPC分类号： G08B13/19606 ,  G06K9/00335 ,  G06K9/00771 ,  G08B13/19641 ,  G08B13/19673 ,  G08B13/19682 ,  G08B13/19693 ,  G08B21/0423 ,  G08B21/0476

摘要： Methods and systems for the unsupervised learning of events contained within a video sequence, including apparatus and interfaces for implementing such systems and methods, are disclosed. An illustrative method in accordance with an exemplary embodiment of the present invention may include the steps of providing a behavioral analysis engine, initiating a training phase mode within the behavioral analysis engine and obtaining a feature vector including one or more parameters relating to an object located within an image sequence, and then analyzing the feature vector to determine a number of possible event candidates. The behavioral analysis engine can be configured to prompt the user to confirm whether an event candidate is a new event, an existing event, or an outlier. Once trained, a testing/operational phase mode of the behavioral analysis engine can be further implemented to detect the occurrence of one or more learned events, if desired.

公开(公告)号：US20070177819A1

公开(公告)日：2007-08-02

申请号：US11345203

申请日：2006-02-01

申请人： Yunqian Ma ,  Michael Bazakos

发明人： Yunqian Ma ,  Michael Bazakos

IPC分类号： G06K9/36

CPC分类号： G06K9/6289 ,  G06K9/00771 ,  G06K9/4652 ,  H04N5/332

摘要： A multi-spectral imaging surveillance system and method in which a plurality of imaging cameras is associated with a data-processing apparatus. A module can be provided, which resides in a memory of said data-processing apparatus. The module performs fusion of a plurality images respectively generated by varying imaging cameras among said plurality of imaging cameras. Fusion of the images is based on a plurality of parameters indicative of environmental conditions in order to achieve enhanced imaging surveillance thereof. The final fused images are the result of two parts: an image fusion portion, and a knowledge representation part. For the final fusion, many operators can be utilized, which can be applied between the image fusion result and the knowledge representation portion.

摘要翻译： 一种多光谱成像监视系统和方法，其中多个成像摄像机与数据处理设备相关联。 可以提供一个位于所述数据处理装置的存储器中的模块。 所述模块执行由所述多个成像照相机中的各种成像照相机分别产生的多个图像的融合。 图像的融合基于指示环境条件的多个参数，以便实现其增强的成像监视。 最终的融合图像是两部分的结果：图像融合部分和知识表示部分。 对于最终融合，可以利用许多操作者，这可以在图像融合结果和知识表示部分之间应用。

公开(公告)号：US20060102843A1

公开(公告)日：2006-05-18

申请号：US10987806

申请日：2004-11-12

申请人： Michael Bazakos ,  Vassilios Morellas ,  Yunqian Ma

发明人： Michael Bazakos ,  Vassilios Morellas ,  Yunqian Ma

IPC分类号： G01J5/02

CPC分类号： G06K9/00255 ,  G01J3/36

摘要： A face detection and recognition system having several arrays imaging a scene in the infrared and visible spectrums. The system may use weighted subtracting and thresholding to distinguish human skin in a sensed image. A feature selector may locate a face in the image. The image may be cropped with a frame or border incorporating essentially only the face. The border may be superimposed on images from an infrared imaging array and the visible imaging array. Sub-images containing the face may be extracted from within the border on the infrared and visible images, respectively, and compared with a database of face information to attain recognition of the face. Confidence levels of recognition for infrared and visible imaged faces may be established. A resultant confidence level of recognition may be determined from these confidence levels. Infrared lighting may be used as needed to illuminate the scene.

公开(公告)号：US20060233436A1

公开(公告)日：2006-10-19

申请号：US11213527

申请日：2005-08-26

申请人： Yunqian Ma ,  Michael Bazakos

发明人： Yunqian Ma ,  Michael Bazakos

IPC分类号： G06K9/00

CPC分类号： G06K9/32 ,  G06K9/00624 ,  G06K9/2081 ,  G06K2209/40 ,  G06T7/50

摘要： Systems and methods of establishing 3D coordinates from 2D image domain data acquired from an image sensor are disclosed. An illustrative method may include the steps of acquiring at least one image frame from the image sensor, selecting at least one polygon defining a region of interest within the image frame, measuring the distance from an origin of the image sensor to a number of reference points on the polygon, determining the distance between the selected reference points, and then determining 3D reference coordinates for one or more points on the polygon using a data fusion technique in which 2D image data from the image sensor is geometrically converted to 3D coordinates based at least in part on measured values of the reference points. An interpolation technique can be used to determine the 3D coordinates for all of the pixels within the polygon.

摘要翻译： 公开了从从图像传感器获取的2D图像域数据建立3D坐标的系统和方法。 说明性方法可以包括以下步骤：从图像传感器获取至少一个图像帧，选择至少一个限定图像帧内的感兴趣区域的多边形，测量从图像传感器的原点到参考点的数量的距离 在所述多边形上确定所选参考点之间的距离，然后使用数据融合技术确定所述多边形上的一个或多个点的3D参考坐标，其中来自所述图像传感器的2D图像数据至少几何地被转换为3D坐标 部分是参考点的测量值。 可以使用内插技术来确定多边形内所有像素的3D坐标。

公开(公告)号：US08766975B2

公开(公告)日：2014-07-01

申请号：US13553281

申请日：2012-07-19

申请人： Benjamin Mohr ,  Yunqian Ma ,  Michael Ray Elgersma ,  John B. McKitterick

发明人： Benjamin Mohr ,  Yunqian Ma ,  Michael Ray Elgersma ,  John B. McKitterick

IPC分类号： G06T15/00 ,  G06F17/00 ,  G06T1/00

CPC分类号： G01C11/00 ,  G01C11/06 ,  G06T7/13 ,  G06T7/33 ,  G06T2207/10044 ,  G06T2207/30181

摘要： A method for navigation comprises constructing a current map that includes two-dimensional or three dimensional representations of an area, detecting one or more edge features on the current map, and generating a first fine-edge map based on the edge features. The method further comprises retrieving a historical map that includes two-dimensional or three dimensional representations of the area, detecting one or more edge features on the historical map, and generating a second fine-edge map based on the edge features. Thereafter, a coarse version of the current map is generated from the first fine-edge map, and a coarse version of the historical map is generated from the second fine-edge map. The coarse versions of the current and historical maps are then correlated to determine a first position and orientation. The first fine-edge map is then correlated with the second fine-edge map to determine a second, more accurate, position and orientation.

摘要翻译： 一种用于导航的方法包括构建包括区域的二维或三维表示的当前地图，检测当前地图上的一个或多个边缘特征，以及基于边缘特征生成第一细边图。 该方法还包括检索包括该区域的二维或三维表示的历史地图，检测历史地图上的一个或多个边缘特征，以及基于边缘特征生成第二细边图。 此后，从第一细边图生成当前地图的粗略版本，并且从第二细边图生成历史地图的粗略版本。 然后将当前和历史地图的粗略版本相关联以确定第一位置和方向。 然后将第一细边图与第二细边图相关联，以确定第二，更准确的位置和取向。