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1. 发明申请

US20070058863A1 Label Detection 有权
标题翻译：标签检测
公开(公告)号：US20070058863A1
公开(公告)日：2007-03-15
申请号：US11223885
申请日：2005-09-09
申请人： Lokesh Boregowda , Anupama Rajagopal , Krishnamoorthy Dornadula , Lalitha Eswara
发明人： Lokesh Boregowda , Anupama Rajagopal , Krishnamoorthy Dornadula , Lalitha Eswara
IPC分类号： G06K9/00 , G06K9/46
CPC分类号： G06K9/3258
摘要： A system and a method to detect a label are described herein. The system and method are to extract a horizontal region of interest based on the image; to extract a vertical region of interest based on the image; and to identify presence of the primary label in the image from the horizontal region of interest and from the vertical region of interest
摘要翻译：本文描述了用于检测标签的系统和方法。系统和方法是基于图像提取一个水平的感兴趣区域; 基于图像提取垂直的感兴趣区域; 并从感兴趣的水平区域和垂直感兴趣区域中识别图像中主要标签的存在

2. 发明申请

US20070058856A1 Character recoginition in video data 审中-公开
标题翻译：视频数据中的角色识别
公开(公告)号：US20070058856A1
公开(公告)日：2007-03-15
申请号：US11227016
申请日：2005-09-15
申请人： Lokesh Boregowda , Anupama Rajagopal
发明人： Lokesh Boregowda , Anupama Rajagopal
IPC分类号： G06K9/62 , G06K9/18 , G06K9/34 , G06K9/00
CPC分类号： G06K9/628 , G06K9/3258 , G06K9/6814 , G06K2209/01 , G06K2209/15
摘要： An example method of recognizing characters in video data includes (i) Obtaining a binary image from a scene in video data; (ii) segmenting characters in the binary image (e.g., by using region labeling); and (iii) using a character recognition model to recognize the segmented characters. The method may be incorporated into an existing video system or newly developed video systems to perform character recognition tasks on a variety of different objects. In some embodiments, the character recognition module uses a learning-based neural network to recognize characters. In other embodiments, the character recognition module uses a non-learning-based progressive shape analysis process for character recognition.
摘要翻译：识别视频数据中的字符的示例方法包括：（i）从视频数据中的场景获取二进制图像; （ii）分割二进制图像中的字符（例如，通过使用区域标记）; 和（iii）使用字符识别模型来识别分段字符。该方法可以并入现有的视频系统或新开发的视频系统中，以在各种不同的对象上执行字符识别任务。在一些实施例中，字符识别模块使用基于学习的神经网络来识别字符。在其他实施例中，字符识别模块使用用于字符识别的基于非学习的渐进形状分析处理。

3. 发明申请

US20070061727A1 Adaptive key frame extraction from video data 审中-公开
标题翻译：从视频数据提取自适应关键帧
公开(公告)号：US20070061727A1
公开(公告)日：2007-03-15
申请号：US11227386
申请日：2005-09-15
申请人： Lokesh Boregowda , Anupama Rajagopal
发明人： Lokesh Boregowda , Anupama Rajagopal
IPC分类号： G11B27/00 , H04N5/14 , H04N5/445
CPC分类号： H04N5/147
摘要： In some embodiments, the present invention is related to a method that includes determining difference frames between successive frames in video data and determining an energy value of each difference frame. The method further includes determining a cumulative energy mean for each difference frame and a predetermined number of previous difference frames and updating the energy value of each frame by removing the cumulative energy mean from the energy value of each difference frame. In addition, the method further includes identifying a temporal change in the energy value of each difference frame to extract key frames from video data. Identifying a temporal change in the energy value of each difference frame to extract key frames from the video data may include identifying difference frames that have an energy value greater than zero after the cumulative energy mean has been removed from the energy value of each difference frame.
摘要翻译：在一些实施例中，本发明涉及一种方法，其包括确定视频数据中的连续帧之间的差分帧并确定每个差分帧的能量值。该方法还包括确定每个差分帧的累积能量平均值和预定数量的先前差分帧，并且通过从每个差分帧的能量值去除累积能量平均值来更新每个帧的能量值。此外，该方法还包括识别每个差分帧的能量值的时间变化以从视频数据中提取关键帧。识别每个差分帧的能量值的时间变化以从视频数据中提取关键帧可以包括在从每个差分帧的能量值去除累积能量均值之后，识别具有大于零的能量值的差异帧。

4. 发明申请

US20070058837A1 Video motion detection using block processing 审中-公开
标题翻译：视频运动检测采用块处理
公开(公告)号：US20070058837A1
公开(公告)日：2007-03-15
申请号：US11227588
申请日：2005-09-15
申请人： Lokesh Boregowda , Mayur Jain , Anupama Rajagopal
发明人： Lokesh Boregowda , Mayur Jain , Anupama Rajagopal
IPC分类号： G06K9/00
CPC分类号： G06T7/223 , G06T2207/10016 , G06T2207/10024
摘要： A system detects motion in video data. In an embodiment, a difference frame is created by comparing the pixels from a first frame and a second frame. The difference frame is divided up into blocks of pixels, and the system calculates standard deviations on a block basis. A threshold value is calculated based on the standard deviation, and the presence or absence of motion is determined based on that threshold value.
摘要翻译：系统检测视频数据中的运动。在一个实施例中，通过比较来自第一帧和第二帧的像素来创建差异帧。差分帧被划分成像素块，并且系统以块为基础计算标准偏差。基于标准偏差计算阈值，并且基于该阈值确定运动的存在或不存在。

5. 发明申请

US20070058836A1 Object classification in video data 审中-公开
标题翻译：视频数据中的对象分类
公开(公告)号：US20070058836A1
公开(公告)日：2007-03-15
申请号：US11227505
申请日：2005-09-15
申请人： Lokesh Boregowda , Anupama Rajagopal
发明人： Lokesh Boregowda , Anupama Rajagopal
IPC分类号： G06K9/00 , G06K9/62
CPC分类号： G06K9/00771
摘要： A method to classify objects labels objects as human, vehicle, multiple human, or other based on output from a motion detection algorithm. Features that are extracted from the blob, such as size, shape, and area, form a basis of the classification. The extracted features are subjected to various mathematical analyses that distinguish the classes that are available for labeling an object.
摘要翻译：根据运动检测算法的输出，将对象分类为人类，车辆，多人或其他对象的方法。从斑点中提取的特征，如大小，形状和面积，构成分类的基础。提取的特征经受各种数学分析，区分可用于标记对象的类。

6. 发明授权

US07639878B2 Shadow detection in images 失效
标题翻译：图像中的阴影检测
公开(公告)号：US07639878B2
公开(公告)日：2009-12-29
申请号：US11281037
申请日：2005-11-17
申请人： Mohamed M. Ibrahim , Anupama Rajagopal
发明人： Mohamed M. Ibrahim , Anupama Rajagopal
IPC分类号： G06K9/46 , G06K9/66 , G06K9/48 , G06K9/00 , H04N5/225
CPC分类号： G06T7/254 , G06T7/12 , G06T7/194 , G06T7/73 , G06T7/77 , G06T2207/10016
摘要： In an embodiment, a novel, scene adaptive, robust shadow detection method has been disclosed. An adaptive division image analysis compares one or more images containing objects and shadows to a reference image that is void of the objects and shadows. Ratios are calculated comparing the frame with shadows and/or objects to the reference frame. Shadows are identified by identifying pixels that fall within a certain range of these ratios. In another embodiment, projection histograms are used to identify the penumbra region of shadows in the image.
摘要翻译：在一个实施例中，已经公开了一种新颖的场景自适应强健的阴影检测方法。自适应分割图像分析将包含对象和阴影的一个或多个图像与对象和阴影无关的参考图像进行比较。将帧与阴影和/或对象进行比较来计算参考帧。通过识别落在这些比率的一定范围内的像素来识别阴影。在另一个实施例中，使用投影直方图来识别图像中阴影的半影区域。

7. 发明授权

US07613328B2 Label detection 有权
标题翻译：标签检测
公开(公告)号：US07613328B2
公开(公告)日：2009-11-03
申请号：US11223885
申请日：2005-09-09
申请人： Lokesh R. Boregowda , Anupama Rajagopal , Krishnamoorthy Dornadula , Lalitha M. Eswara
发明人： Lokesh R. Boregowda , Anupama Rajagopal , Krishnamoorthy Dornadula , Lalitha M. Eswara
IPC分类号： G06K9/00
CPC分类号： G06K9/3258
摘要： A system and a method to detect a label are described herein. The system and method are to extract a horizontal region of interest based on the image; to extract a vertical region of interest based on the image; and to identify presence of the primary label in the image from the horizontal region of interest and from the vertical region of interest.
摘要翻译：本文描述了用于检测标签的系统和方法。系统和方法是基于图像提取一个水平的感兴趣区域; 基于图像提取垂直的感兴趣区域; 并从感兴趣的水平区域和垂直感兴趣区域中识别图像中主要标签的存在。

8. 发明申请

US20070110309A1 Shadow detection in images 失效
标题翻译：图像中的阴影检测
公开(公告)号：US20070110309A1
公开(公告)日：2007-05-17
申请号：US11281037
申请日：2005-11-17
申请人： Mohamed Ibrahim , Anupama Rajagopal
发明人： Mohamed Ibrahim , Anupama Rajagopal
IPC分类号： G06K9/34
CPC分类号： G06T7/254 , G06T7/12 , G06T7/194 , G06T7/73 , G06T7/77 , G06T2207/10016
摘要： In an embodiment, a novel, scene adaptive, robust shadow detection method has been disclosed. An adaptive division image analysis compares one or more images containing objects and shadows to a reference image that is void of the objects and shadows. Ratios are calculated comparing the frame with shadows and/or objects to the reference frame. Shadows are identified by identifying pixels that fall within a certain range of these ratios. In another embodiment, projection histograms are used to identify the penumbra region of shadows in the image.
摘要翻译：在一个实施例中，已经公开了一种新颖的场景自适应强健的阴影检测方法。自适应分割图像分析将包含对象和阴影的一个或多个图像与对象和阴影无关的参考图像进行比较。将帧与阴影和/或对象进行比较来计算参考帧。通过识别落在这些比率的一定范围内的像素来识别阴影。在另一个实施例中，使用投影直方图来识别图像中阴影的半影区域。

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