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1. 发明授权

US08139888B2 Method for filtering of images with bilateral filters and power images 有权
标题翻译：用双向滤波器和功率图像过滤图像的方法
公开(公告)号：US08139888B2
公开(公告)日：2012-03-20
申请号：US12143565
申请日：2008-06-20
申请人： Fatih M. Porikli
发明人： Fatih M. Porikli
IPC分类号： G06K9/40
CPC分类号： G06T5/20 , G06T2207/20028
摘要： The current invention describes a method for filtering an input image with a bilateral filter. The bilateral filter includes a spatial filter and a range filter. The method constructs a set of power images from an input image including pixels, each pixel having intensity. Then, the method applies, to each power image, the spatial filter to determine a response for the spatial filter and the corresponding power image and combines the responses and the set of power images to produce a response for the bilateral filter.
摘要翻译：本发明描述了一种用双边滤波器对输入图像进行滤波的方法。双边滤波器包括空间滤波器和范围滤波器。该方法从包括像素的输入图像构建一组功率图像，每个像素具有强度。然后，该方法对每个功率图像应用空间滤波器以确定空间滤波器和对应的功率图像的响应，并组合响应和功率图像集合以产生双边滤波器的响应。

2. 发明申请

US20110007952A1 Enhanced Visualizations for Ultrasound Videos 有权
标题翻译：超声视频增强的可视化
公开(公告)号：US20110007952A1
公开(公告)日：2011-01-13
申请号：US12639777
申请日：2009-12-16
申请人： Fatih M. Porikli , Teng-Yok Lee
发明人： Fatih M. Porikli , Teng-Yok Lee
IPC分类号： G06T7/00
CPC分类号： G06T7/0012 , G06F19/321 , G06K9/00 , G06T7/20 , G06T2207/10132
摘要： A method estimates a pattern of change of a patient, specifically a change in the respiration pattern. An ultrasound video is segmented into groups of pictures (GOPs). Pixels from the first GOP are used to initialize a change model. Based on the change model, a change pattern for a next GOP is estimated, and the change model is changed to fit the change pattern. The estimating and the updating are repeated until a termination condition is reached.
摘要翻译：一种方法估计患者的变化模式，特别是呼吸模式的变化。超声视频被分割成图像组（GOP）。来自第一GOP的像素用于初始化变化模型。基于变化模型，估计下一个GOP的改变模式，并且改变模型被改变以适应变化模式。重复估计和更新，直到达到终止条件。

3. 发明授权

US07840061B2 Method for adaptively boosting classifiers for object tracking 有权
标题翻译：自适应提升分类器进行物体跟踪的方法
公开(公告)号：US07840061B2
公开(公告)日：2010-11-23
申请号：US11679940
申请日：2007-02-28
申请人： Fatih M. Porikli , Toufiq Parag
发明人： Fatih M. Porikli , Toufiq Parag
IPC分类号： G06K9/00 , G06K9/62 , G06K9/36
CPC分类号： G06K9/6257 , G06T7/20 , G06T2207/10016
摘要： A method adapts a boosted classifier to new samples. A boosted classifier is trained using initial samples. The boosted classifier is a combination of weak classifiers. Each weak classifier of the boosted classifier is updated adaptively by adding contributions of new samples and deleting contributions old samples.
摘要翻译：一种方法是将增强型分类器适应于新样本。使用初始样本训练增强分类器。增强分类器是弱分类器的组合。增强分类器的每个弱分类器通过添加新样本的贡献并删除贡献的旧样本来自适应地更新。

4. 发明授权

US07756296B2 Method for tracking objects in videos using forward and backward tracking 有权
标题翻译：使用向前和向后跟踪跟踪视频中的对象的方法
公开(公告)号：US07756296B2
公开(公告)日：2010-07-13
申请号：US11691886
申请日：2007-03-27
申请人： Fatih M. Porikli , Xue Mei , Dirk Brinkman
发明人： Fatih M. Porikli , Xue Mei , Dirk Brinkman
IPC分类号： G06K9/00 , H04N13/00
CPC分类号： G06T7/20 , G06T2207/10016
摘要： A method tracks an object in a sequence of frames of a video. The method is provided with a set of tracking modules. Frames of a video are buffered in a memory buffer. First, an object is tracked in the buffered frames forward in time using a selected one of the plurality of tracking module. Second, the object is tracked in the buffered frames backward in time using the selected tracking module. Then, a tracking error is determined from the first tracking and the second tracking. If the tracking error is less than a predetermined threshold, then additional frames are buffered in the memory buffer and the first tracking, the second tracking and the determining steps are repeated. Otherwise, if the error is greater than the predetermined threshold, then a different tracking module is selected and the first tracking, the second tracking and the determining steps are repeated.
摘要翻译：一种方法跟踪视频帧的序列中的对象。该方法具有一组跟踪模块。视频的帧被缓存在存储器缓冲器中。首先，使用所述多个跟踪模块中的所选择的一个，在缓冲帧中跟踪对象的时间。第二，使用所选择的跟踪模块，在缓冲的帧中以时间向后跟踪对象。然后，从第一跟踪和第二跟踪确定跟踪误差。如果跟踪误差小于预定阈值，则将附加帧缓冲在存储器缓冲器中，并且重复第一跟踪，第二跟踪和确定步骤。否则，如果误差大于预定阈值，则选择不同的跟踪模块，并重复第一跟踪，第二跟踪和确定步骤。

5. 发明授权

US07720289B2 Method for constructing covariance matrices from data features 有权
标题翻译：从数据特征构造协方差矩阵的方法
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
IPC分类号： G06K9/46 , G06K9/00
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。

6. 发明申请

US20080247599A1 Method for Detecting Objects Left-Behind in a Scene 有权
标题翻译：检测场景中左后方的对象的方法
公开(公告)号：US20080247599A1
公开(公告)日：2008-10-09
申请号：US11697052
申请日：2007-04-05
申请人： Fatih M. Porikli , Yuri A. Ivanov
发明人： Fatih M. Porikli , Yuri A. Ivanov
IPC分类号： G06K9/74
CPC分类号： G06K9/00771
摘要： A method detects an object left-behind in a scene by updating a set of background models using a sequence of images acquired of the scene by a camera. Each background model is updated at a different temporal scales ranging from short term to long term. A foreground mask is determined from each background model after the updating for a particular image of the sequence. A motion image is updated from the set of foreground masks. In the motion, image, each pixel has an associated evidence value. The evidence values are compared with a evidence threshold to detect and signal an object left behind in the scene.
摘要翻译：一种方法通过使用由相机拍摄的场景的图像序列来更新一组背景模型来检测场景中的遗留物体。每个背景模型以不同的时间尺度更新，从短期到长期。在对序列的特定图像进行更新之后，从每个背景模型确定前景蒙版。运动图像从前景蒙版组更新。在运动，图像中，每个像素都具有相关的证据值。将证据值与证据阈值进行比较，以检测并发出场景中留下的物体。

7. 发明授权

US07418113B2 Tracking objects in low frame rate videos 有权
标题翻译：跟踪低帧率视频中的对象
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
IPC分类号： G06K9/00 , H04N7/18
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。

8. 发明授权

US07415164B2 Modeling scenes in videos using spectral similarity 失效
标题翻译：使用光谱相似性建模视频中的场景
公开(公告)号：US07415164B2
公开(公告)日：2008-08-19
申请号：US11029787
申请日：2005-01-05
申请人： Christopher R. Wren , Fatih M. Porikli
发明人： Christopher R. Wren , Fatih M. Porikli
IPC分类号： G06K9/00 , G06K9/36 , G01R23/16 , H01S3/10
CPC分类号： G06K9/00711 , G06K9/32 , G06K9/38 , G06T7/194 , G06T7/215 , G06T2207/10016 , G06T2207/10048 , G06T2207/20056 , G06T2207/20081
摘要： A computer implemented method models a scene in a video acquired by a camera. For each pixel in each frame of the video, a time series of intensities of the pixel is acquired. A harmonic series is extracted from samples of each time series using a sliding window. Distances between the harmonic series are measured. The distances are an estimate of spectral components in an autocorrelation function of underlying dynamic processes in the scene.
摘要翻译：计算机实现的方法对由相机获取的视频中的场景进行建模。对于视频的每个帧中的每个像素，获取像素的时间序列的强度。使用滑动窗从每个时间序列的样本中提取谐波序列。测量谐波系列之间的距离。距离是场景中基础动态过程的自相关函数中的频谱分量的估计。

9. 发明授权

US07359555B2 Detecting roads in aerial images using feature-based classifiers 失效
标题翻译：使用基于特征的分类器检测航空图像中的道路
公开(公告)号：US07359555B2
公开(公告)日：2008-04-15
申请号：US10961926
申请日：2004-10-08
申请人： Fatih M. Porikli , Jie Shao
发明人： Fatih M. Porikli , Jie Shao
IPC分类号： G06K9/46 , G06K9/40 , G06K9/00
CPC分类号： G06K9/0063 , G03B15/006 , G06K9/6292
摘要： A method detects roads in an aerial image of ground topology by determining low-level features, such as intensities and gradients, for each pixel in the aerial image, determining middle-level features, such as an orientation for each pixel from the low-level features, and determining high-level features from the middle-level features. Each high-level feature is assigned a probability, and the probabilities of the high-level features for each pixel are normalized and aggregated to a single probability that the pixel is associated with a road.
摘要翻译：一种方法通过确定空中图像中每个像素的低级特征（如强度和梯度）来检测地面拓扑的空中图像中的道路，确定中间层特征，例如来自低层的每个像素的取向功能，并确定中级功能的高级功能。每个高级特征被分配概率，并且将每个像素的高级特征的概率归一化并聚合成像素与道路相关联的单一概率。

10. 发明授权

US07349573B2 Image segmentation by base point selection and wavefront propagation 失效
标题翻译：通过基点选择和波前传播进行图像分割
公开(公告)号：US07349573B2
公开(公告)日：2008-03-25
申请号：US10810921
申请日：2004-03-26
申请人： Fatih M. Porikli
发明人： Fatih M. Porikli
IPC分类号： G06K9/00
CPC分类号： G06K9/38 , G06K9/342 , G06T7/12 , G06T7/149 , G06T2207/20156 , G06T2207/20161
摘要： A method partitions an image into segments. The image includes pixel points. A set of base points is selected in the image. A wavefront is initialized and emitted from each base point. Each wavefront is propagated according to a speed function until a termination condition is satisfied to determine a corresponding final wavefront. The image is then segmented according to each final wavefront.
摘要翻译：一种方法将图像分割成段。图像包括像素点。在图像中选择一组基点。从每个基点初始化和发射波阵面。每个波前根据速度函数传播，直到满足终止条件以确定相应的最终波前。然后根据每个最终的波前将图像分段。

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