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1. 发明授权

US07593547B2 Video-based encroachment detection 有权
标题翻译：基于视频的侵占检测
公开(公告)号：US07593547B2
公开(公告)日：2009-09-22
申请号：US11245391
申请日：2005-10-06
申请人： Anurag Mittal , Imad Zoghlami , Visvanathan Ramesh
发明人： Anurag Mittal , Imad Zoghlami , Visvanathan Ramesh
IPC分类号： G06K9/00
CPC分类号： G08B13/19613 , G06T7/254
摘要： A method and system for video-based encroachment detection are provided, the method including receiving first and second images, modeling a background from the first image, subtracting the background from the second image to provide a detection map, calibrating the size of an object from the pixel level, integrating a projection of the object with the detection map using dynamic programming, and detecting the object in a region if the projection matches that region of the detection map; and the system including a processor, a background modeling unit coupled with the processor for modeling a background from the first image and subtracting the background from the second image to provide a detection map, and a dynamic programming unit coupled with the processor for calibrating the size of an object from the pixel level, integrating a projection of the object with the detection map, and detecting the object in a region if the projection matches that region of the detection map.
摘要翻译：提供了一种用于基于视频的侵入检测的方法和系统，所述方法包括接收第一和第二图像，从第一图像建模背景，从第二图像中减去背景以提供检测图，校准物体的大小像素级，使用动态规划将对象的投影与检测图集成，如果投影与检测图的区域匹配，则检测区域中的对象; 并且所述系统包括处理器，与所述处理器耦合的背景建模单元，用于对来自所述第一图像的背景进行建模并从所述第二图像减去所述背景以提供检测图;以及动态编程单元，与所述处理器耦合以校准所述尺寸从像素级别的对象，将对象的投影与检测图集成，以及如果投影匹配检测图的区域，则检测区域中的对象。

2. 发明申请

US20060093187A1 Video-based encroachment detection 有权
公开(公告)号：US20060093187A1
公开(公告)日：2006-05-04
申请号：US11245391
申请日：2005-10-06
申请人： Anurag Mittal , Imad Zoghlami , Visvanathan Ramesh
发明人： Anurag Mittal , Imad Zoghlami , Visvanathan Ramesh
IPC分类号： G06K9/00
CPC分类号： G08B13/19613 , G06T7/254
摘要： A method and system for video-based encroachment detection are provided, the method including receiving first and second images, modeling a background from the first image, subtracting the background from the second image to provide a detection map, calibrating the size of an object from the pixel level, integrating a projection of the object with the detection map using dynamic programming, and detecting the object in a region if the projection matches that region of the detection map; and the system including a processor, a background modeling unit coupled with the processor for modeling a background from the first image and subtracting the background from the second image to provide a detection map, and a dynamic programming unit coupled with the processor for calibrating the size of an object from the pixel level, integrating a projection of the object with the detection map, and detecting the object in a region if the projection matches that region of the detection map.

3. 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。

4. 发明授权

US07853042B2 Tunable kernels for tracking 有权
标题翻译：用于跟踪的可调内核
公开(公告)号：US07853042B2
公开(公告)日：2010-12-14
申请号：US11650788
申请日：2007-01-08
申请人： Vasudev Parameswaran , Visvanathan Ramesh , Imad Zoghlami
发明人： Vasudev Parameswaran , Visvanathan Ramesh , Imad Zoghlami
IPC分类号： G06T7/20
CPC分类号： G06K9/32 , G06K9/4642 , G06K9/6226
摘要： A tunable representation for tracking that simultaneously encodes appearance and geometry in a manner that enables the use of mean-shift iterations for tracking is provided. The solution to the tracking problem is articulated into a method that encodes the spatial configuration of features along with their density and yet retains robustness to spatial deformations and feature density variations. The method of encoding of spatial configuration is provided using a set of kernels whose parameters can be optimized for a given class of objects off-line. The method enables the use of mean-shift iterations and runs in real-time. Better tracking results by the novel tracking method as compared to the original mean-shift tracker are demonstrated.
摘要翻译：提供了用于跟踪的可调表示，其以能够使用平均移位迭代进行跟踪的方式同时编码外观和几何。跟踪问题的解决方案是将特征的空间配置及其密度进行编码，并保持对空间变形和特征密度变化的鲁棒性。使用一组内核来提供空间配置的编码方法，该内核的参数可以离线给定类别的对象进行优化。该方法使得可以实时使用均值迭代和运行。证明了与原始平均移位跟踪器相比，通过新颖的跟踪方法更好的跟踪结果。

5. 发明申请

US20090034793A1 Fast Crowd Segmentation Using Shape Indexing 失效
标题翻译：使用形状索引快速人群分割
公开(公告)号：US20090034793A1
公开(公告)日：2009-02-05
申请号：US12184685
申请日：2008-08-01
申请人： Lan Dong , Vasudev Parameswaran , Visvanathan Ramesh , Imad Zoghlami
发明人： Lan Dong , Vasudev Parameswaran , Visvanathan Ramesh , Imad Zoghlami
IPC分类号： G06K9/00 , G06K9/34
CPC分类号： G06K9/00369 , G06K9/00778
摘要： A method for performing crowd segmentation includes receiving video image data (S21). Background differencing is performed on the received video image data to identify a foreground silhouette shape (S22). Approximate number and position of human subjects within the received video image data are determined by matching the foreground silhouette shape against a set of predetermined foreground silhouette shapes, for each of which a number and position of human subjects is known (S28). The estimated number and position of the human subjects is refined to determine a final number and position of the human subjects (S27).
摘要翻译：执行人群分割的方法包括接收视频图像数据（S21）。对所接收的视频图像数据执行背景差异以识别前景轮廓形状（S22）。通过将前景剪影形状与一组预定的前景剪影形状相匹配来确定人类受试者在接收的视频图像数据内的近似数量和位置，对于每个人的受试者的数量和位置是已知的（S28）。改进人类受试者的估计数量和位置，以确定人类受试者的最终数量和位置（S27）。

6. 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。

7. 发明授权

US08358806B2 Fast crowd segmentation using shape indexing 失效
标题翻译：快速人群分割使用形状索引
公开(公告)号：US08358806B2
公开(公告)日：2013-01-22
申请号：US12184685
申请日：2008-08-01
申请人： Lan Dong , Vasudev Parameswaran , Visvanathan Ramesh , Imad Zoghlami
发明人： Lan Dong , Vasudev Parameswaran , Visvanathan Ramesh , Imad Zoghlami
IPC分类号： G06K9/00
CPC分类号： G06K9/00369 , G06K9/00778
摘要： A method for performing crowd segmentation includes receiving video image data (S21). Background differencing is performed on the received video image data to identify a foreground silhouette shape (S22). Approximate number and position of human subjects within the received video image data are determined by matching the foreground silhouette shape against a set of predetermined foreground silhouette shapes, for each of which a number and position of human subjects is known (S28). The estimated number and position of the human subjects is refined to determine a final number and position of the human subjects (S27).
摘要翻译：执行人群分割的方法包括接收视频图像数据（S21）。对所接收的视频图像数据执行背景差异以识别前景轮廓形状（S22）。通过将前景剪影形状与一组预定的前景剪影形状相匹配来确定人类受试者在接收的视频图像数据内的近似数量和位置，对于每个人的受试者的数量和位置是已知的（S28）。改进人类受试者的估计数量和位置，以确定人类受试者的最终数量和位置（S27）。

8. 发明申请

US20100008540A1 Method for Object Detection 有权
标题翻译：对象检测方法
公开(公告)号：US20100008540A1
公开(公告)日：2010-01-14
申请号：US12107151
申请日：2008-04-22
申请人： Vinay Damodar Shet , Jan Neumann , Vasudev Parameswaran , Visvanathan Ramesh , Imad Zoghlami
发明人： Vinay Damodar Shet , Jan Neumann , Vasudev Parameswaran , Visvanathan Ramesh , Imad Zoghlami
IPC分类号： G06K9/00
CPC分类号： G06K9/626 , G06K9/00369
摘要： A method for object detection from a visual image of a scene. The method includes: using a first order predicate logic formalism to specify a set of logical rules to encode contextual knowledge regarding the object to be detected; inserting the specified logical rules into a knowledge base; obtaining the visual image of the scene; applying specific object feature detectors to some or all pixels in the visual image of the scene to obtain responses at those locations; using the obtained responses to generate logical facts indicative of whether specific features or parts of the object are present or absent at that location in the visual image; inserting the generated logical facts into the knowledge base; and combining the logical facts with the set of logical rules to whether the object is present or absent at a particular location in the scene.
摘要翻译：一种用于从场景的视觉图像进行物体检测的方法。该方法包括：使用一阶谓词逻辑形式来指定一组逻辑规则以对关于待检测对象的上下文知识进行编码; 将指定的逻辑规则插入到知识库中; 获取场景的视觉图像; 将特定对象特征检测器应用于场景的视觉图像中的一些或所有像素，以在那些位置处获得响应; 使用所获得的响应来生成指示所述对象的特定特征或部分是否存在于所述视觉图像中的所述位置处的逻辑事实; 将生成的逻辑事实插入到知识库中; 以及将所述逻辑事实与所述逻辑规则集合，以组合所述对象是否存在于场景中的特定位置处。

9. 发明授权

US07499570B2 Illumination invariant change detection 失效
标题翻译：照明不变变化检测
公开(公告)号：US07499570B2
公开(公告)日：2009-03-03
申请号：US11066772
申请日：2005-02-25
申请人： Imad Zoghlami , Dorin Comaniciu , Visvanathan Ramesh
发明人： Imad Zoghlami , Dorin Comaniciu , Visvanathan Ramesh
IPC分类号： G06K9/00 , G06K9/36 , G06K9/46
CPC分类号： G06K9/00711 , G08B13/1961 , H04N19/142 , H04N19/48 , H04N19/61 , H04N19/87
摘要： A system and method for illumination invariant change detection are provided, the system including a processor, an energy ranking unit in signal communication with the processor for extracting block coefficients for the first and second images and computing an energy difference responsive to the coefficients for a frequency energy between the first and second images, and a change detection unit in signal communication with the processor for analyzing the energy difference and detecting a scene change if the energy difference is indicative of change; and the method including receiving first and second images, extracting block coefficients corresponding to frequency energies for the first and second images, computing an energy difference for at least one of the frequency energies between the first and second images, analyzing the at least one energy difference, and detecting a scene change if the energy difference is indicative of change.
摘要翻译：提供了一种用于照明不变量变化检测的系统和方法，所述系统包括处理器，与处理器进行信号通信的能量排名单元，用于提取第一和第二图像的块系数，并响应于频率的系数计算能量差第一图像和第二图像之间的能量以及与处理器进行信号通信的分析能量差异并且如果能量差指示变化则检测场景变化的变化检测单元; 并且所述方法包括接收第一和第二图像，提取与第一和第二图像的频率能量相对应的块系数，计算第一和第二图像之间的至少一个频率能量的能量差，分析至少一个能量差并且如果能量差指示变化则检测场景变化。

10. 发明申请

US20080100473A1 Spatial-temporal Image Analysis in Vehicle Detection Systems 审中-公开
标题翻译：车辆检测系统中的时空图像分析
公开(公告)号：US20080100473A1
公开(公告)日：2008-05-01
申请号：US11876975
申请日：2007-10-23
申请人： Xiang Gao , Visvanathan Ramesh , Imad Zoghlami
发明人： Xiang Gao , Visvanathan Ramesh , Imad Zoghlami
IPC分类号： G08G1/017
CPC分类号： G08G1/04
摘要： A method and system for background maintenance of a vision system by fusing a plurality of detection methods and applying a 1D analysis to verify an absence of a static vehicle is provided. Methods for analyzing spatial temporal images in vehicle detection systems are provided. A method for processing a 1-dimensional profile is provided to detect a static vehicle in a traffic lane. When no vehicles are detected, a background image may be updated. A method for processing a 1-dimensional profile is also provided to detect occlusions of a traffic lane by a vehicle in a neighboring traffic lane. A method to reduce false alarm in wrong way driver detection applies the method for occlusion detection. A method to detect a slow moving vehicle in a traffic lane from a spatial-temporal image is also disclosed. A system applying the methods for processing 1-dimensional profiles is also provided.
摘要翻译：提供了一种通过融合多种检测方法并应用1D分析来验证静态车辆不存在的视觉系统的背景维护的方法和系统。提供了用于分析车辆检测系统中的空间时间图像的方法。提供一种用于处理一维轮廓的方法以检测行车道中的静态车辆。当没有检测到车辆时，可以更新背景图像。还提供了一种用于处理一维轮廓的方法，用于检测相邻行车道中的车辆对行车道的遮挡。以错误的方式减少误报的方法驱动程序检测的方法适用于遮挡检测的方法。还公开了一种从空间 - 时间图像检测行车道中的缓慢移动的车辆的方法。还提供了应用用于处理一维轮廓的方法的系统。

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