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1. 发明授权

US06999004B2 System and method for vehicle detection and tracking 失效
标题翻译：车辆检测和跟踪的系统和方法
公开(公告)号：US06999004B2
公开(公告)日：2006-02-14
申请号：US10463912
申请日：2003-06-17
申请人： Dorin Comaniciu , Visvanathan Ramesh , Nikolaos Paragios
发明人： Dorin Comaniciu , Visvanathan Ramesh , Nikolaos Paragios
IPC分类号： G08G1/017 , G08G1/054
CPC分类号： G06K9/3241 , G06K9/00805 , G06T7/246 , G08G1/04
摘要： A system and method for vehicle detection and tracking in tunnels is provided. The method comprises the steps of capturing a plurality of image frames viewing at least one traffic lane; extracting at least one feature from the plurality of image frames; detecting at least one object indicative of a vehicle from the extracted feature; and tracking the detected vehicle over time to determine the detected vehicle's velocity. The system comprising at least one image capture device for capturing a plurality of image frames viewing at least one traffic lane; and a processor adapted for extracting at least one feature from the plurality of image frames, detecting at least one object indicative of a vehicle from the extracted feature, and tracking the detected vehicle over time to determine the detected vehicle's velocity.
摘要翻译：提供了一种用于隧道中车辆检测和跟踪的系统和方法。该方法包括以下步骤：捕获观看至少一个行车道的多个图像帧; 从所述多个图像帧中提取至少一个特征; 从所提取的特征中检测指示车辆的至少一个物体; 并随着时间跟踪所检测到的车辆以确定检测到的车辆的速度。该系统包括用于捕获观看至少一个行车道的多个图像帧的至少一个图像捕获装置; 以及处理器，适于从所述多个图像帧中提取至少一个特征，从所提取的特征中检测指示车辆的至少一个物体，以及跟踪所检测到的车辆随时间的变化，以确定所检测到的车辆的速度。

2. 发明申请

US20050180603A1 Method and system for searching for events in video surveillance 有权
标题翻译：在视频监控中搜索事件的方法和系统
公开(公告)号：US20050180603A1
公开(公告)日：2005-08-18
申请号：US11042694
申请日：2005-01-25
申请人： Imad Zoghlami , Visvanathan Ramesh , Nikolaos Paragios
发明人： Imad Zoghlami , Visvanathan Ramesh , Nikolaos Paragios
IPC分类号： G06K9/00 , G06K9/68 , G06T7/20
CPC分类号： G06K9/00771 , G06T7/254
摘要： A method for detecting events in a video sequence includes providing a video sequence, sampling the video sequence at regular intervals to form a series of snapshots of the sequence, measuring a similarity of each snapshot, measuring a similarity change between successive pairs of snapshots, wherein if a similarity change magnitude is greater than a predetermined threshold, a change event has been detected, verifying the change event to exclude a false positive, and completing the processing of the snapshot incorporating the verified change event.
摘要翻译：用于检测视频序列中的事件的方法包括提供视频序列，以规则的间隔对视频序列进行采样以形成序列的一系列快照，测量每个快照的相似度，测量连续的快照对之间的相似性改变，其中如果相似度变化幅度大于预定阈值，则检测到改变事件，验证改变事件以排除假阳性，并且完成并入验证的改变事件的快照的处理。

3. 发明授权

US07555046B2 Method and system for searching and verifying magnitude change events in video surveillance 有权
标题翻译：视频监控中大小变化事件的搜索和验证方法和系统
公开(公告)号：US07555046B2
公开(公告)日：2009-06-30
申请号：US11042694
申请日：2005-01-25
申请人： Imad Zoghlami , Visvanathan Ramesh , Nikolaos Paragios
发明人： Imad Zoghlami , Visvanathan Ramesh , Nikolaos Paragios
IPC分类号： H04N7/12
CPC分类号： G06K9/00771 , G06T7/254
摘要： A method for detecting events in a video sequence includes providing a video sequence, sampling the video sequence at regular intervals to form a series of snapshots of the sequence, measuring a similarity of each snapshot, measuring a similarity change between successive pairs of snapshots, wherein if a similarity change magnitude is greater than a predetermined threshold, a change event has been detected, verifying the change event to exclude a false positive, and completing the processing of the snapshot incorporating the verified change event.
摘要翻译：用于检测视频序列中的事件的方法包括提供视频序列，以规则的间隔对视频序列进行采样以形成序列的一系列快照，测量每个快照的相似度，测量连续的快照对之间的相似性改变，其中如果相似度变化幅度大于预定阈值，则检测到改变事件，验证改变事件以排除假阳性，并且完成并入验证的改变事件的快照的处理。

4. 发明授权

US07336803B2 Method for scene modeling and change detection 有权
标题翻译：场景建模和变化检测方法
公开(公告)号：US07336803B2
公开(公告)日：2008-02-26
申请号：US10685162
申请日：2003-10-14
申请人： Anurag Mittal , Nikolaos Paragios , Visvanathan Ramesh , Antoine Monnet
发明人： Anurag Mittal , Nikolaos Paragios , Visvanathan Ramesh , Antoine Monnet
IPC分类号： G06K9/00
CPC分类号： G06K9/00771 , G06K9/38 , G06K9/6247 , G06T7/269
摘要： A method for dynamic scene modeling and change detection applicable to motion analysis utilizes optical flow for capturing and modeling the dynamics of the scene. Uncertainties in the measurements are evaluated and utilized in order to develop a robust representation of the scene in a higher dimensional space. In another embodiment, a dynamical model of the scene is developed that utilizes multiple past frames to predict the next frame. Incremental methods for updating the model are developed and, towards detection of events, a new measure is introduced that is based on a state-driven comparison between the prediction and the actual observation.
摘要翻译：适用于运动分析的动态场景建模和变化检测的方法利用光流来捕获和建模场景的动力学。评估和利用测量中的不确定性，以便在更高维度空间中开发场景的鲁棒表示。在另一个实施例中，开发了利用多个过去帧来预测下一帧的场景的动态模型。开发了用于更新模型的增量方法，并且为了检测事件，引入了基于预测与实际观察之间的状态驱动比较的新措施。

5. 发明授权

US07574019B2 Method for scene modeling and change detection 有权
标题翻译：场景建模和变化检测方法
公开(公告)号：US07574019B2
公开(公告)日：2009-08-11
申请号：US11943945
申请日：2007-11-21
申请人： Anurag Mittal , Nikolaos Paragios , Visvanathan Ramesh , Antoine Monnet
发明人： Anurag Mittal , Nikolaos Paragios , Visvanathan Ramesh , Antoine Monnet
IPC分类号： G06K9/00
CPC分类号： G06K9/00771 , G06K9/38 , G06K9/6247 , G06T7/269
摘要： A method for dynamic scene modeling and change detection applicable to motion analysis utilizes optical flow for capturing and modeling the dynamics of the scene. Uncertainties in the measurements are evaluated and utilized in order to develop a robust representation of the scene in a higher dimensional space. In another embodiment, a dynamical model of the scene is developed that utilizes multiple past frames to predict the next frame. Incremental methods for updating the model are developed and, towards detection of events, a new measure is introduced that is based on a state-driven comparison between the prediction and the actual observation.
摘要翻译：适用于运动分析的动态场景建模和变化检测的方法利用光流来捕获和建模场景的动力学。评估和利用测量中的不确定性，以便在更高维度空间中开发场景的鲁棒表示。在另一个实施例中，开发了利用多个过去帧来预测下一帧的场景的动态模型。开发了用于更新模型的增量方法，并且为了检测事件，引入了基于预测与实际观察之间的状态驱动比较的新措施。

6. 发明授权

US07321386B2 Robust stereo-driven video-based surveillance 有权
标题翻译：强大的立体声驱动视频监控
公开(公告)号：US07321386B2
公开(公告)日：2008-01-22
申请号：US10632002
申请日：2003-07-31
申请人： Anurag Mittal , Nikolaos Paragios , Visvanathan Ramesh
发明人： Anurag Mittal , Nikolaos Paragios , Visvanathan Ramesh
IPC分类号： H04N5/225
CPC分类号： G06K9/00771 , G06K9/209 , G06T7/277 , G06T7/55
摘要： A method of tracking an object comprises providing a plurality of cameras, determining an image from each camera, and determining a common plane in the images. The method further comprises determining a parallax for scene points across the images, incorporating the parallax as a feature in a background model, and estimating a change in the scene using the background model. A camera can be a pan-tilt-zoom camera. A camera can be uncalibrated.
摘要翻译：跟踪对象的方法包括提供多个相机，确定来自每个相机的图像，以及确定图像中的公共平面。该方法还包括确定跨越图像的场景点的视差，将视差结合为背景模型中的特征，以及使用背景模型估计场景的变化。相机可以是摇摄变焦相机。相机可能未被校准。

7. 发明授权

US07095890B2 Integration of visual information, anatomic constraints and prior shape knowledge for medical segmentations 有权
标题翻译：视觉信息，解剖约束和医学分割的先前形状知识的整合
公开(公告)号：US07095890B2
公开(公告)日：2006-08-22
申请号：US10356455
申请日：2003-01-31
申请人： Nikolaos Paragios , Visvanathan Ramesh , Mikael Rousson
发明人： Nikolaos Paragios , Visvanathan Ramesh , Mikael Rousson
IPC分类号： G06K9/34 , G06K9/00 , G06K9/48
CPC分类号： G06T7/149 , G06T7/12 , G06T2207/10088 , G06T2207/20161 , G06T2207/30048
摘要： This invention relates to the integration of visual information, anatomic constraints, prior shape knowledge, and level set representations for the segmentation of medical images. An embodiment according to the present invention comprises a level set variational framework that uses a bi-directional boundary flow, an intensity-based regional component that maximizes the a posteriori segmentation probability, a physiology-based module that constrains the solution space and a term that accounts for shape-driven consistency. All modules are expressed in an energetic form and the resulting objective function is optimized using a gradient descent method.
摘要翻译：本发明涉及视觉信息，解剖约束，先前形状知识和用于医学图像分割的水平集表示的集成。根据本发明的实施例包括使用双向边界流的水平集变分框架，使后验分割概率最大化的基于强度的区域分量，约束解空间的基于生理学的模块和一个术语，考虑到形状驱动的一致性。所有模块都以能量形式表达，并且使用梯度下降法优化所得到的目标函数。

8. 发明申请

US20050286764A1 Method for scene modeling and change detection 有权
标题翻译：场景建模和变化检测方法
公开(公告)号：US20050286764A1
公开(公告)日：2005-12-29
申请号：US10685162
申请日：2003-10-14
申请人： Anurag Mittal , Nikolaos Paragios , Visvanathan Ramesh , Antoine Monnet
发明人： Anurag Mittal , Nikolaos Paragios , Visvanathan Ramesh , Antoine Monnet
IPC分类号： G06K9/00 , G06T7/20
CPC分类号： G06K9/00771 , G06K9/38 , G06K9/6247 , G06T7/269
摘要： A method for dynamic scene modeling and change detection applicable to motion analysis utilizes optical flow for capturing and modeling the dynamics of the scene. Uncertainties in the measurements are evaluated and utilized in order to develop a robust representation of the scene in a higher dimensional space. In another embodiment, a dynamical model of the scene is developed that utilizes multiple past frames to predict the next frame. Incremental methods for updating the model are developed and, towards detection of events, a new measure is introduced that is based on a state-driven comparison between the prediction and the actual observation.
摘要翻译：适用于运动分析的动态场景建模和变化检测的方法利用光流来捕获和建模场景的动力学。评估和利用测量中的不确定性，以便在更高维度空间中开发场景的鲁棒表示。在另一个实施例中，开发了利用多个过去帧来预测下一帧的场景的动态模型。开发了用于更新模型的增量方法，并且为了检测事件，引入了基于预测与实际观察之间的状态驱动比较的新措施。

9. 发明授权

US08098290B2 Multiple camera system for obtaining high resolution images of objects 有权
标题翻译：用于获得物体的高分辨率图像的多相机系统
公开(公告)号：US08098290B2
公开(公告)日：2012-01-17
申请号：US11042125
申请日：2005-01-24
申请人： Anurag Mittal , Nikolaos Paragios , Visvanathan Ramesh
发明人： Anurag Mittal , Nikolaos Paragios , Visvanathan Ramesh
IPC分类号： H04N5/232 , H04N7/18 , H04N5/225
CPC分类号： G06K9/209 , G06K9/32 , G06T5/50 , G06T7/254 , G06T7/73
摘要： A system and corresponding method for image acquisition are provided, the system including a processor, an imaging adapter in signal communication with the processor for receiving image data from each of a static imaging device and a dynamic imaging device, and a homography unit in signal communication with the processor for computing a planar homography between the static and dynamic image data; and the method including receiving an image from a static imaging device, receiving an image from a dynamic imaging device, and registering the dynamic image to the static image using planar homography.
摘要翻译：提供了一种用于图像采集的系统和相应的方法，该系统包括处理器，与处理器进行信号通信的成像适配器，用于从静态成像设备和动态成像设备中的每一个接收图像数据，以及信号通信中的单对应单元处理器用于计算静态和动态图像数据之间的平面单应性; 并且该方法包括从静态成像设备接收图像，从动态成像设备接收图像，以及使用平面单应性将动态图像注册到静态图像。

10. 发明授权

US07200269B2 Non-rigid image registration using distance functions 有权
标题翻译：使用距离函数的非刚性图像配准
公开(公告)号：US07200269B2
公开(公告)日：2007-04-03
申请号：US10356055
申请日：2003-01-31
申请人： Nikolaos Paragios , Mikael Rousson , Visvanathan Ramesh
发明人： Nikolaos Paragios , Mikael Rousson , Visvanathan Ramesh
IPC分类号： G06K9/62 , G06F7/60
CPC分类号： G06K9/00362 , G06T7/12 , G06T7/149 , G06T2207/10012
摘要： A system and method for non-rigid image registration using distance functions includes portions for receiving a source shape into an image space, integrating a global linear registration model with local deformations to assess the source shape, optimizing a functional defined on a parameter or feature space where the functional quantifies the similarity between the source shape and a target shape in terms of distance functions, creating an augmented registration space including a plurality of target shape clones coherently positioned in the image space, tracking moving interfaces between the source shape and the target shapes and clones through a level set method, and registering the source shape by seeking mutual correspondences between the source shape, the target shape and the target shape clones.
摘要翻译：用于使用距离函数的非刚性图像配准的系统和方法包括用于将源形状接收到图像空间中的部分，将全局线性对准模型与局部变形集成以评估源形状，优化在参数或特征空间上定义的功能其中功能量化距离函数在源形状和目标形状之间的相似性，创建包括相干地定位在图像空间中的多个目标形状克隆的增强对准空间，跟踪源形状和目标形状之间的移动界面并通过水平集方法进行克隆，并通过寻找源形状，目标形状和目标形状克隆之间的相互对应来记录源形状。

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