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公开(公告)号：US07224735B2
公开(公告)日：2007-05-29
申请号：US10442752
申请日：2003-05-21
申请人： Fatih M. Porikli , Oncel Tuzel , Dirk Brinkman
发明人： Fatih M. Porikli , Oncel Tuzel , Dirk Brinkman
IPC分类号： H04N7/18
CPC分类号： G06T7/20 , G06K9/32 , G06K9/38 , G06K2009/3291
摘要： A method compares a background image to input images to determine a similarity scores λ for each input image. Then, the background image is updated only if the similarity score for a particular image is less than a predetermined threshold. Presumably, any pixel whose color does not change is part of a static background, and any pixel that does change is part of a moving object. The similarity score controls when input images are scored and the manner the background image is updated.
摘要翻译： 一种方法将背景图像与输入图像进行比较，以确定每个输入图像的相似度得分λ。 然后，仅当特定图像的相似度得分小于预定阈值时才更新背景图像。 可能的是，其颜色不改变的任何像素是静态背景的一部分，并且任何改变的像素是移动对象的一部分。 相似度得分控制输入图像的分数和背景图像的更新方式。
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公开(公告)号：US07720289B2
公开(公告)日：2010-05-18
申请号：US11305427
申请日：2005-12-14
申请人： Fatih M. Porikli , Oncel Tuzel
发明人： Fatih M. Porikli , Oncel Tuzel
CPC分类号： G06K9/4642 , G06K9/6215
摘要： A method constructs descriptors for a set of data samples and determines a distance score between pairs of subsets selected from the set of data samples. A d-dimensional feature vector is extracted for each sample in each subset of samples. The feature vector includes indices to the corresponding sample and properties of the sample. The feature vectors of each subset of samples are combined into a d×d dimensional covariance matrix. The covariance matrix is a descriptor of the corresponding subset of samples. Then, a distance score is determined between the two subsets of samples using the descriptors to measure a similarity between the descriptors.
摘要翻译： 一种方法构建一组数据样本的描述符，并确定从该组数据样本中选择的子集对之间的距离分数。 在每个样本子集中为每个样本提取d维特征向量。 特征向量包括相应样本的索引和样本的属性。 将样本的每个子集的特征向量组合成d×d维协方差矩阵。 协方差矩阵是相应样本子集的描述符。 然后，使用描述符在两个样本子集之间确定距离分数，以测量描述符之间的相似性。
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公开(公告)号：US07418113B2
公开(公告)日：2008-08-26
申请号：US11097400
申请日：2005-04-01
申请人： Fatih M. Porikli , Oncel Tuzel
发明人： Fatih M. Porikli , Oncel Tuzel
CPC分类号： G06T7/20 , G06K9/32 , G06K9/4652 , G06K9/6212 , G06K2009/3291
摘要： A method tracks a moving object in a video acquired of a scene with a camera. A background model is maintained for each frame, and moving objects are detected according to changes in the background model. An object model is maintained for the moving object, and kernels are generated for the moving object. A mean-shift process is applied to each kernel in each frame to determine a likelihood of an estimated location of the moving object in each frame, according to the background models, the object model, and the mean shift kernels to track the moving object in the video.
摘要翻译： 一种方法利用相机跟踪场景获取的视频中的移动物体。 为每个帧维护一个背景模型，并根据背景模型的变化来检测移动的对象。 为运动对象维护对象模型，并为运动对象生成内核。 平均移位过程被应用于每个帧中的每个内核，以根据背景模型，对象模型和用于跟踪移动对象的平均移位内核来确定每个帧中的运动对象的估计位置的可能性 视频。
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公开(公告)号：US07620204B2
公开(公告)日：2009-11-17
申请号：US11352145
申请日：2006-02-09
申请人： Fatih M. Porikli , Oncel Tuzel
发明人： Fatih M. Porikli , Oncel Tuzel
CPC分类号： G06K9/32 , G06T7/251 , G06T2207/10016 , G06T2207/30196
摘要： A method is provided for tracking a non-rigid object in a sequence of frames of a video. Features of an object are extracted from the video. The features include locations of pixels and properties of the pixels. The features are used to construct a covariance matrix. The covariance matrix is used as a descriptor of the object for tracking purposes. Object deformations and appearance changes are managed with an update mechanism that is based on Lie algebra averaging.
摘要翻译： 提供了一种用于跟踪视频帧中的非刚性对象的方法。 从视频中提取对象的特征。 这些特征包括像素的位置和像素的属性。 这些特征用于构造协方差矩阵。 协方差矩阵用作跟踪目的的对象的描述符。 对象变形和外观变化通过基于李代数平均的更新机制进行管理。
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公开(公告)号：US07466842B2
公开(公告)日：2008-12-16
申请号：US11133894
申请日：2005-05-20
申请人： Oncel Tuzel , Fatih M. Porikli
发明人： Oncel Tuzel , Fatih M. Porikli
IPC分类号： G06K9/00
CPC分类号： G06K9/00711 , G06K9/32 , G06T7/277
摘要： A video is acquired of a scene. Each pixel in each frame of the video is represented by multiple of layers. Each layer includes multiple Gaussian distributions. Each Gaussian distribution includes a mean and a covariance. The covariance is an inverse Wishart distribution. Then, the layers are updated for each frame with a recursive Bayesian estimation process to construct a model of the scene. The model can be used to detect foreground and background pixels according to confidence scores of the layers.
摘要翻译： 获取一个场景的视频。 视频的每个帧中的每个像素由多个层表示。 每个层包括多个高斯分布。 每个高斯分布包括平均和协方差。 协方差是一个逆Wishart分布。 然后，使用递归贝叶斯估计过程为每个帧更新层，以构建场景的模型。 该模型可以根据层的置信度得分来检测前景和背景像素。
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公开(公告)号：US08718362B2
公开(公告)日：2014-05-06
申请号：US13432998
申请日：2012-03-28
申请人： Oncel Tuzel , Jaishanker K Pillai
发明人： Oncel Tuzel , Jaishanker K Pillai
IPC分类号： G06K9/00
CPC分类号： G06K9/4609 , G06K9/72
摘要： Objects in an image are classified by applying an appearance classifier to the image to determine candidates of the objects and statistics associated with the candidates, wherein the appearance classifier uses a set of windows, and the candidates are in selected windows. Then, a context classifier is applied only to the selected windows of the image to determine an identity, and location of objects in the image.
摘要翻译： 通过对图像应用外观分类器来确定图像中的对象，以确定与候选者相关联的对象和统计信息的候选，其中，外观分类器使用一组窗口，并且候选者在所选择的窗口中。 然后，上下文分类器仅应用于图像的所选窗口以确定图像中的对象的身份和位置。
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公开(公告)号：US20120269384A1
公开(公告)日：2012-10-25
申请号：US13089914
申请日：2011-04-19
申请人： Michael J. Jones , Oncel Tuzel , Weiguang Si
发明人： Michael J. Jones , Oncel Tuzel , Weiguang Si
IPC分类号： G06K9/00
CPC分类号： G06K9/00201
摘要： A method for detecting an object in a depth image includes determining a detection window covering a region in the depth image, wherein a location of the detection window is based on a location of a candidate pixel in the depth image, wherein a size of the detection window is based on a depth value of the candidate pixel and a size of the object. A foreground region in the detection window is segmented based on the depth value of the candidate pixel and the size of the object. A feature vector is determined based on depth values of the pixels in the foreground region and the feature vector is classified to detect the object.
摘要翻译： 用于检测深度图像中的对象的方法包括确定覆盖深度图像中的区域的检测窗口，其中检测窗口的位置基于深度图像中的候选像素的位置，其中检测的大小 窗口基于候选像素的深度值和对象的大小。 基于候选像素的深度值和对象的大小来分割检测窗口中的前景区域。 基于前景区域中的像素的深度值确定特征向量，并且将特征向量分类以检测对象。
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公开(公告)号：US20060222205A1
公开(公告)日：2006-10-05
申请号：US11097400
申请日：2005-04-01
申请人： Fatih Porikli , Oncel Tuzel
发明人： Fatih Porikli , Oncel Tuzel
CPC分类号： G06T7/20 , G06K9/32 , G06K9/4652 , G06K9/6212 , G06K2009/3291
摘要： A method tracks a moving object in a video acquired of a scene with a camera. A background model is maintained for each frame, and moving objects are detected according to changes in the background model. An object model is maintained for the moving object, and kernels are generated for the moving object. A mean-shift process is applied to each kernel in each frame to determine a likelihood of an estimated location of the moving object in each frame, according to the background models, the object model, and the mean shift kernels to track the moving object in the video.
摘要翻译： 一种方法利用相机跟踪场景获取的视频中的移动物体。 为每个帧维护一个背景模型，并根据背景模型的变化来检测移动的对象。 为运动对象维护对象模型，并为运动对象生成内核。 平均移位过程被应用于每个帧中的每个内核，以根据背景模型，对象模型和用于跟踪移动对象的平均移位内核来确定每个帧中的运动对象的估计位置的可能性 视频。
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公开(公告)号：US08908913B2
公开(公告)日：2014-12-09
申请号：US13329493
申请日：2011-12-19
IPC分类号： G06K9/00
CPC分类号： G06T7/75 , G06T7/521 , G06T2207/30108 , G06T2207/30164
摘要： A pose of an object is estimated by first defining a set of pair features as pairs of geometric primitives, wherein the geometric primitives include oriented surface points, oriented boundary points, and boundary line segments. Model pair features are determined based on the set of pair features for a model of the object. Scene pair features are determined based on the set of pair features from data acquired by a 3D sensor, and then the model pair features are matched with the scene pair features to estimate the pose of the object.
摘要翻译： 通过首先将一组成对特征定义为几何图元的对来估计对象的姿态，其中几何基元包括定向表面点，定向边界点和边界线段。 基于对象模型的对特征集合确定模型对特征。 场景对特征是根据3D传感器获取的数据对的一组特征确定的，然后将模型对特征与场景对特征相匹配，以估计对象的姿态。
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10.发明授权Method and system for generating structured light with spatio-temporal patterns for 3D scene reconstruction 有权用于生成具有三维场景重建的时空模式的结构光的方法和系统公开(公告)号：US08805057B2
公开(公告)日：2014-08-12
申请号：US13562406
申请日：2012-07-31
申请人： Yuichi Taguchi , Amit Agrawal , Oncel Tuzel
发明人： Yuichi Taguchi , Amit Agrawal , Oncel Tuzel
IPC分类号： G06T7/00
CPC分类号： G01B11/2509 , G01B11/2527 , G06T7/521 , G06T7/586 , G06T2207/10024 , G06T2207/10028 , G06T2207/10152
摘要： A structured light pattern including a set of patterns in a sequence is generated by initializing a base pattern. The base pattern includes a sequence of colored stripes such that each subsequence of the colored stripes is unique for a particular size of the subsequence. The base pattern is shifted hierarchically, spatially and temporally a predetermined number of times to generate the set of patterns, wherein each pattern is different spatially and temporally. A unique location of each pixel in a set of images acquired of a scene is determined, while projecting the set of patterns onto the scene, wherein there is one image for each pattern.
摘要翻译： 通过初始化基本图案来生成包括序列中的一组图案的结构化光图案。 基本图案包括彩色条纹序列，使得彩色条纹的每个子序列对于子序列的特定大小是唯一的。 基本图案在空间和时间上以预定次数分层地移位，以产生一组图案，其中每个图案在空间和时间上是不同的。 确定在场景中获取的一组图像中的每个像素的独特位置，同时将该组图案投影到场景上，其中每个图案有一个图像。
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