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公开(公告)号：US08520899B2
公开(公告)日：2013-08-27
申请号：US13525905
申请日：2012-06-18
CPC分类号： G06K9/00369 , G06K9/00771 , G06K9/2081 , G06K9/3241 , G06K2209/23
摘要： Techniques for classifying one or more objects in at least one video, wherein the at least one video comprises a plurality of frames are provided. One or more objects in the plurality of frames are tracked. A level of deformation is computed for each of the one or more tracked objects in accordance with at least one change in a plurality of histograms of oriented gradients for a corresponding tracked object. Each of the one or more tracked objects is classified in accordance with the computed level of deformation.
摘要翻译： 用于对至少一个视频中的一个或多个对象进行分类的技术，其中所述至少一个视频包括多个帧。 跟踪多个帧中的一个或多个对象。 根据对应的跟踪对象的定向梯度的多个直方图中的至少一个变化来计算一个或多个跟踪对象中的每一个的变形水平。 一个或多个跟踪物体中的每一个根据计算的变形水平进行分类。
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公开(公告)号：US20100054535A1
公开(公告)日：2010-03-04
申请号：US12200017
申请日：2008-08-28
IPC分类号： G06K9/62
CPC分类号： G06K9/00369 , G06K9/00771 , G06K9/2081 , G06K9/3241 , G06K2209/23
摘要： Techniques for classifying one or more objects in at least one video, wherein the at least one video comprises a plurality of frames are provided. One or more objects in the plurality of frames are tracked. A level of deformation is computed for each of the one or more tracked objects in accordance with at least one change in a plurality of histograms of oriented gradients for a corresponding tracked object. Each of the one or more tracked objects is classified in accordance with the computed level of deformation.
摘要翻译： 用于对至少一个视频中的一个或多个对象进行分类的技术，其中所述至少一个视频包括多个帧。 跟踪多个帧中的一个或多个对象。 根据对应的跟踪对象的定向梯度的多个直方图中的至少一个变化来计算一个或多个跟踪对象中的每一个的变形水平。 一个或多个跟踪物体中的每一个根据计算的变形水平进行分类。
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公开(公告)号：US20120257793A1
公开(公告)日：2012-10-11
申请号：US13525905
申请日：2012-06-18
IPC分类号： G06K9/62
CPC分类号： G06K9/00369 , G06K9/00771 , G06K9/2081 , G06K9/3241 , G06K2209/23
摘要： Techniques for classifying one or more objects in at least one video, wherein the at least one video comprises a plurality of frames are provided. One or more objects in the plurality of frames are tracked. A level of deformation is computed for each of the one or more tracked objects in accordance with at least one change in a plurality of histograms of oriented gradients for a corresponding tracked object. Each of the one or more tracked objects is classified in accordance with the computed level of deformation.
摘要翻译： 用于对至少一个视频中的一个或多个对象进行分类的技术，其中所述至少一个视频包括多个帧。 跟踪多个帧中的一个或多个对象。 根据对应的跟踪对象的定向梯度的多个直方图中的至少一个变化来计算一个或多个跟踪对象中的每一个的变形水平。 一个或多个跟踪物体中的每一个根据计算的变形水平进行分类。
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公开(公告)号：US20100054540A1
公开(公告)日：2010-03-04
申请号：US12200059
申请日：2008-08-28
CPC分类号： G06K9/6267 , G06K9/00369 , G06K9/00771 , G06K9/2081 , G06K9/3241 , G06K2209/23
摘要： Techniques for calibrating a classification system, wherein one or more objects in at least one video are classified, are provided. At least one view associated with the at least one video is obtained. The at least one view is partitioned into at least one region. A given object is classified in accordance with its location in reference to the at least one region. In an additional embodiment, one or more object models are obtained. At least one normalized size of the one or more objects is defined within at least one view associated with the at least one video in accordance with the one or more object models. The one or more objects are classified in accordance with the at least one defined normalized size.
摘要翻译： 提供了一种用于校准分类系统的技术，其中至少一个视频中的一个或多个对象被分类。 获得与至少一个视频相关联的至少一个视图。 至少一个视图被划分为至少一个区域。 给定对象根据其位置参照至少一个区域进行分类。 在另外的实施例中，获得一个或多个对象模型。 根据一个或多个对象模型，在与至少一个视频相关联的至少一个视图内定义一个或多个对象的至少一个归一化大小。 根据至少一个定义的归一化尺寸对一个或多个对象进行分类。
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公开(公告)号：US08483490B2
公开(公告)日：2013-07-09
申请号：US12200059
申请日：2008-08-28
CPC分类号： G06K9/6267 , G06K9/00369 , G06K9/00771 , G06K9/2081 , G06K9/3241 , G06K2209/23
摘要： Techniques for calibrating a classification system, wherein one or more objects in at least one video are classified, are provided. At least one view associated with the at least one video is obtained. The at least one view is partitioned into at least one region. A given object is classified in accordance with its location in reference to the at least one region. In an additional embodiment, one or more object models are obtained. At least one normalized size of the one or more objects is defined within at least one view associated with the at least one video in accordance with the one or more object models. The one or more objects are classified in accordance with the at least one defined normalized size.
摘要翻译： 提供了一种用于校准分类系统的技术，其中至少一个视频中的一个或多个对象被分类。 获得与至少一个视频相关联的至少一个视图。 至少一个视图被划分为至少一个区域。 给定对象根据其位置参照至少一个区域进行分类。 在另外的实施例中，获得一个或多个对象模型。 根据一个或多个对象模型，在与至少一个视频相关联的至少一个视图内定义一个或多个对象的至少一个归一化大小。 根据至少一个定义的归一化尺寸对一个或多个对象进行分类。
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公开(公告)号：US08249301B2
公开(公告)日：2012-08-21
申请号：US12200017
申请日：2008-08-28
CPC分类号： G06K9/00369 , G06K9/00771 , G06K9/2081 , G06K9/3241 , G06K2209/23
摘要： Techniques for classifying one or more objects in at least one video, wherein the at least one video comprises a plurality of frames are provided. One or more objects in the plurality of frames are tracked. A level of deformation is computed for each of the one or more tracked objects in accordance with at least one change in a plurality of histograms of oriented gradients for a corresponding tracked object. Each of the one or more tracked objects is classified in accordance with the computed level of deformation.
摘要翻译： 用于对至少一个视频中的一个或多个对象进行分类的技术，其中所述至少一个视频包括多个帧。 跟踪多个帧中的一个或多个对象。 根据对应的跟踪对象的定向梯度的多个直方图中的至少一个变化来计算一个或多个跟踪对象中的每一个的变形水平。 一个或多个跟踪物体中的每一个根据计算的变形水平进行分类。
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公开(公告)号：US20120027304A1
公开(公告)日：2012-02-02
申请号：US12845095
申请日：2010-07-28
IPC分类号： G06K9/46
CPC分类号： G06K9/00718 , G06K9/00369 , G06K9/00664 , G06K9/469 , G06K9/6201 , G06K9/6202 , G06K9/6232 , G06K9/6857
摘要： The invention provides an improved method to detect semantic attributes of human body in computer vision. In detecting semantic attributes of human body in computer vision, the invention maintains a list of semantic attributes, each of which corresponds to a human body part. A computer module then analyzes segments of a frame of a digital video to detect each semantic attribute by finding a most likely attribute for each segment. A threshold is applied to select candidate segments of the frame for further analysis. The candidate segments of the frame then go through geometric and resolution context analysis by applying the physical structure principles of a human body and by analyzing increasingly higher resolution versions of the image to verify the existence and accuracy of parts and attributes. A computer module computes a resolution context score for a lower resolution version of the image based on a weighted average score computed for a higher resolution version of the image by evaluating appearance features, geometric features, and resolution context features when available on the higher resolution version of the image. Finally, an optimal configuration step is performed via dynamic programming to select an optimal output with both semantic attributes and spatial positions of human body parts on the frame.
摘要翻译： 本发明提供了一种用于检测计算机视觉中人体语义属性的改进方法。 在检测计算机视觉中人体的语义属性时，本发明保留了语义属性的列表，每个语义属性对应于人体部分。 然后，计算机模块通过为每个段找到最可能的属性来分析数字视频的帧的段以检测每个语义属性。 应用阈值来选择帧的候选片段用于进一步分析。 然后，帧的候选片段通过应用人体的物理结构原理并通过分析图像的越来越高的分辨率版本来验证部件和属性的存在和准确性来进行几何和分辨率上下文分析。 计算机模块基于通过在更高分辨率版本上可用时评估外观特征，几何特征和分辨率上下文特征来计算针对图像的较高分辨率版本的加权平均得分，来计算图像的较低分辨率版本的分辨率上下文得分 的图像。 最后，通过动态规划执行最佳配置步骤，以选择具有框架上人体部位的语义属性和空间位置的最优输出。
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公开(公告)号：US08532390B2
公开(公告)日：2013-09-10
申请号：US12845095
申请日：2010-07-28
IPC分类号： G06K9/00
CPC分类号： G06K9/00718 , G06K9/00369 , G06K9/00664 , G06K9/469 , G06K9/6201 , G06K9/6202 , G06K9/6232 , G06K9/6857
摘要： The invention provides an improved method to detect semantic attributes of human body in computer vision. In detecting semantic attributes of human body in computer vision, the invention maintains a list of semantic attributes, each of which corresponds to a human body part. A computer module then analyzes segments of a frame of a digital video to detect each semantic attribute by finding a most likely attribute for each segment. A threshold is applied to select candidate segments of the frame for further analysis. The candidate segments of the frame then go through geometric and resolution context analysis by applying the physical structure principles of a human body and by analyzing increasingly higher resolution versions of the image to verify the existence and accuracy of parts and attributes. A computer module computes a resolution context score for a lower resolution version of the image based on a weighted average score computed for a higher resolution version of the image by evaluating appearance features, geometric features, and resolution context features when available on the higher resolution version of the image. Finally, an optimal configuration step is performed via dynamic programming to select an optimal output with both semantic attributes and spatial positions of human body parts on the frame.
摘要翻译： 本发明提供了一种用于检测计算机视觉中人体语义属性的改进方法。 在检测计算机视觉中人体的语义属性时，本发明保留了语义属性的列表，每个语义属性对应于人体部分。 然后，计算机模块通过为每个段找到最可能的属性来分析数字视频的帧的段以检测每个语义属性。 应用阈值来选择帧的候选片段用于进一步分析。 然后，帧的候选片段通过应用人体的物理结构原理并通过分析图像的越来越高的分辨率版本来验证部件和属性的存在和准确性来进行几何和分辨率上下文分析。 计算机模块基于通过在更高分辨率版本上可用时评估外观特征，几何特征和分辨率上下文特征来计算针对图像的较高分辨率版本的加权平均得分，来计算图像的较低分辨率版本的分辨率上下文得分 的图像。 最后，通过动态规划执行最佳配置步骤，以选择具有框架上人体部位的语义属性和空间位置的最优输出。
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公开(公告)号：US08284249B2
公开(公告)日：2012-10-09
申请号：US12054717
申请日：2008-03-25
IPC分类号： H04N7/18
CPC分类号： G06T7/2053 , G06K9/00711 , G06K9/00718 , G06K9/00771 , G06K9/44 , G06T7/187 , G06T7/194 , G06T7/254 , G06T2207/10016 , G06T2207/10024 , G06T2207/20036 , G06T2207/30232
摘要： A method for real time processing of a sequence of video frames. The video frames are received in synchronization with a recording of the video frames in real time for triggering an alert. The method is implemented by execution of program code on a processor of a computer system. Each frame includes a two-dimensional array of pixels and a frame-dependent color intensity at each pixel. An algorithm determines whether a static object in a current frame of the video frames is an abandoned object or a removed object. The determined status, the current frame time, the static region, and the static object are stored in a data storage medium of the computer system. An alarm is triggered in response to satisfaction of requirements that include a persistence requirement, a non-persistence duration requirement, and a persistence duration requirement.
摘要翻译： 一种用于实时处理视频帧序列的方法。 与实时记录视频帧同步地接收视频帧以触发警报。 该方法通过在计算机系统的处理器上执行程序代码来实现。 每个帧包括像素的二维阵列和每个像素处的依赖于帧的颜色强度。 算法确定视频帧的当前帧中的静态对象是否为被放弃的对象或被移除的对象。 所确定的状态，当前帧时间，静态区域和静态对象被存储在计算机系统的数据存储介质中。 响应满足包括持久性要求，非持久持续时间要求和持续持续时间要求的要求而触发报警。
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公开(公告)号：US20120320269A1
公开(公告)日：2012-12-20
申请号：US13597902
申请日：2012-08-29
申请人： Rogerio Schmidt Feris , Arun Hampapur , Zuoxuan Lu , Ying-li Tian
发明人： Rogerio Schmidt Feris , Arun Hampapur , Zuoxuan Lu , Ying-li Tian
IPC分类号： H04N5/04
CPC分类号： G06T7/2053 , G06K9/00711 , G06K9/00718 , G06K9/00771 , G06K9/44 , G06T7/187 , G06T7/194 , G06T7/254 , G06T2207/10016 , G06T2207/10024 , G06T2207/20036 , G06T2207/30232
摘要： A method and system for real time processing of a sequence of video frames. A current frame in the sequence and at least one frame in the sequence occurring prior to the current frame is analyzed. Each frame includes a two-dimensional array of pixels. The sequence of video frames is received in synchronization with a recording of the video frames in real time. The analyzing includes performing a background subtraction on the at least one frame, which determines a background image and a static region mask associated with a static region consisting of a contiguous distribution of pixels in the current frame. The static region mask identifies each pixel in the static region upon the static region mask being superimposed on the current frame. The background image includes the array of pixels and a background model of the at least one frame and does not include any moving object.
摘要翻译： 一种用于实时处理视频帧序列的方法和系统。 分析序列中的当前帧和在当前帧之前发生的序列中的至少一个帧。 每帧包括二维像素阵列。 视频帧的序列与视频帧的实时记录同步地被接收。 所述分析包括在所述至少一个帧上执行背景减除，其确定与由当前帧中的连续的像素分布组成的静态区域相关联的背景图像和静态区域掩模。 当静态区域掩模叠加在当前帧上时，静态区域掩模识别静态区域中的每个像素。 背景图像包括像素阵列和至少一个帧的背景模型，并且不包括任何移动物体。
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