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1. 发明授权

US08611611B2 Three dimensional human pose recognition method and apparatus 失效
标题翻译：三维人体姿态识别方法及装置
公开(公告)号：US08611611B2
公开(公告)日：2013-12-17
申请号：US13223593
申请日：2011-09-01
申请人： Liang Li , Weiguo Wu
发明人： Liang Li , Weiguo Wu
IPC分类号： G06K9/00
CPC分类号： G06K9/00369 , G06K9/00342
摘要： The present invention discloses a three dimensional human pose recognition method and apparatus, where the three dimensional human pose recognition method includes steps of: a three dimensional pose initial recognition step of performing three dimensional pose recognition on an input image containing a human image to obtain image-based three dimensional human pose information; a sensor information acquisition step of acquiring, by a motion sensor, motion information of human articulation points; and a three dimensional pose correction step of correcting, with the motion information acquired by the sensor information acquisition step, the image-based three dimensional human pose information recognized by the three dimensional pose initial recognition step. According to the technical solution of the invention, it is possible to improve accuracy of the three dimensional human pose recognition efficiently. Further, the present invention also discloses a three dimensional human pose recognition method and apparatus, in which three dimensional half-body pose recognition is proposed, thereby speed of three dimensional human pose recognition can be improved significantly while improving accuracy of three dimensional human pose recognition.
摘要翻译：本发明公开了一种三维人体姿态识别方法和装置，其中三维人体姿态识别方法包括以下步骤：对包含人体图像的输入图像执行三维姿态识别的三维姿势初始识别步骤，以获得图像三维人体姿态信息; 传感器信息获取步骤，通过运动传感器获取人类关节点的运动信息; 以及三维姿势校正步骤，通过由所述传感器信息获取步骤获取的运动信息，校正由所述三维姿势初始识别步骤识别的基于图像的三维人体姿势信息。根据本发明的技术方案，可以有效地提高三维人体姿态识别的准确性。此外，本发明还公开了一种三维人体姿态识别方法和装置，其中提出了三维半体姿态识别，从而可以显着提高三维人体姿态识别的速度，同时提高三维人体姿态识别的准确性。

2. 发明授权

US09158964B2 Object recognizing apparatus and method 有权
标题翻译：对象识别装置和方法
公开(公告)号：US09158964B2
公开(公告)日：2015-10-13
申请号：US13477413
申请日：2012-05-22
申请人： Liang Li , Weiguo Wu
发明人： Liang Li , Weiguo Wu
IPC分类号： H04N7/18 , G06K9/00
CPC分类号： G06K9/00295
摘要： An object recognizing apparatus and method are provided. The apparatus may include: a viewing direction estimating device configured for respectively estimating a first viewing direction of a first object captured by a first camera and a second viewing direction of a second object captured by a second camera; a feature extracting device configured for extracting one or more features respectively from an image containing the first object captured by the first camera and an image containing the second object captured by the second camera; and an object matching device configured for allocating a weight for each of the one or more features according to the first viewing direction and the second viewing direction, and calculating a similarity between the first object and the second object based on the one or more weighted features, to determine whether the first object and the second object are the same object.
摘要翻译：提供了一种物体识别装置和方法。该装置可以包括：观察方向估计装置，被配置为分别估计由第一相机拍摄的第一对象的第一观看方向和由第二相机拍摄的第二对象的第二观看方向。特征提取装置，被配置为分别从包含由第一相机捕获的第一对象的图像和包含由第二相机捕获的第二对象的图像分别提取一个或多个特征; 以及对象匹配装置，被配置为根据所述第一观察方向和所述第二观察方向分配所述一个或多个特征中的每一个的权重，并且基于所述一个或多个加权特征来计算所述第一对象和所述第二对象之间的相似度，以确定第一对象和第二对象是否是相同的对象。

3. 发明申请

US20120195474A1 METHOD AND APPARATUS FOR EVALUATING HUMAN POSE RECOGNITION TECHNOLOGY 审中-公开
标题翻译：用于评估人员识别技术的方法和装置
公开(公告)号：US20120195474A1
公开(公告)日：2012-08-02
申请号：US13362236
申请日：2012-01-31
申请人： Liang LI , Weiguo Wu
发明人： Liang LI , Weiguo Wu
IPC分类号： G06K9/62
CPC分类号： G06K9/6262
摘要： A method and apparatus for evaluating a human pose recognition technology, where this method comprises: a loading step of loading a pose recognition module with the human pose recognition technology to be evaluated; a pose recognizing step of recognizing a human pose for each test image in a test image set using the pose recognition module to obtain pose data for each test image; a pose classifying step of classifying the pose data for each test image in terms of a predetermined pose category set to obtain a pose category value for each test image; a pose classification evaluating step of calculating a pose classification accuracy rate by comparing the pose category value for each test image with a pose category true value; and a pose recognition comprehensive evaluating step of calculating a comprehensive evaluation score for the human pose recognition technology according to the pose classification accuracy rate.
摘要翻译：一种用于评估人体姿态识别技术的方法和装置，其中该方法包括：加载姿态识别模块与待评估的人体姿态识别技术的装载步骤; 姿势识别步骤，用于使用所述姿态识别模块在使用所述姿势识别模块的测试图像中识别每个测试图像的人姿势，以获得每个测试图像的姿势数据; 姿态分类步骤，根据设定的每个测试图像的姿态数据进行分类，以获得每个测试图像的姿势类别值; 姿势分类评估步骤，通过将每个测试图像的姿态类别值与姿势类别真值进行比较来计算姿势分类准确率; 以及根据姿态分类准确率计算人体姿态识别技术的综合评价分数的姿态识别综合评价步骤。

4. 发明申请

US20120045117A1 METHOD AND DEVICE FOR TRAINING, METHOD AND DEVICE FOR ESTIMATING POSTURE VISUAL ANGLE OF OBJECT IN IMAGE 审中-公开
标题翻译：用于训练，方法和设备的方法和装置，用于估计图像中对象的姿势视角
公开(公告)号：US20120045117A1
公开(公告)日：2012-02-23
申请号：US13266057
申请日：2010-04-23
申请人： Liang Li , Weiguo Wu
发明人： Liang Li , Weiguo Wu
IPC分类号： G06K9/00
CPC分类号： G06T7/77
摘要： Method and device for estimating the posture orientation of the object in image are described. An image feature of the image is obtained. For each orientation class, 3-D object posture information corresponding to the image feature is obtained based on a mapping model corresponding to the orientation class, for mapping the image feature to the 3-D object posture information. A joint probability of a joint feature including the image feature and the corresponding 3-D object posture information for each orientation class is calculated according to a joint probability distribution model based on single probability distribution models for the orientation classes. A conditional probability of the image feature in condition of the corresponding 3-D object posture information is calculated based on the joint probability for each orientation class. The orientation class corresponding to the maximum of the conditional probabilities is estimated as the posture orientation of the object in the image.
摘要翻译：描述用于估计图像中的物体的姿势取向的方法和装置。获得图像的图像特征。对于每个取向类，基于与取向类对应的映射模型，获得与图像特征相对应的3-D对象姿势信息，用于将图像特征映射到3D对象姿势信息。根据基于用于取向类的单一概率分布模型的联合概率分布模型来计算包括用于每个方向类的图像特征和相应的3-D对象姿势信息的联合特征的联合概率。基于每个定向类的联合概率来计算相应3-D对象姿势信息的条件下的图像特征的条件概率。对应于条件概率的最大值的取向类别被估计为图像中对象的姿势取向。

5. 发明授权

US08605943B2 Method and device for determining lean angle of body and pose estimation method and device 失效
标题翻译：用于确定身体倾斜角度和姿态估计方法和装置的方法和装置
公开(公告)号：US08605943B2
公开(公告)日：2013-12-10
申请号：US12986418
申请日：2011-01-07
申请人： Liang Li , Weiguo Wu
发明人： Liang Li , Weiguo Wu
IPC分类号： G06K9/00
CPC分类号： G06K9/00369 , G06T7/73 , G06T2207/10016 , G06T2207/30196
摘要： Provided are a method and device for determining a lean angle of a body and a pose estimation method and device. The method for determining a lean angle of a body of the present invention includes: a head-position obtaining step for obtaining a position of a head; a search region determination step for determining a plurality of search region spaced with an angle around the head; an energy function calculating step for calculating a value of an energy function for the search region; and a lean angle determining step for determining the lean angle of a search region with a largest or smallest value of the energy function as the lean angle of the body. The pose estimation method of the present invention includes a body lean-angle obtaining step, for obtaining a lean angle of a body; and a pose estimation step, for performing a pose estimation based on the lean angle of the body.
摘要翻译：提供了一种用于确定身体的倾斜角度的方法和装置以及姿势估计方法和装置。用于确定本发明的身体的倾斜角度的方法包括：头位置获取步骤，用于获得头部的位置; 搜索区域确定步骤，用于确定围绕头部以角度间隔开的多个搜索区域; 能量函数计算步骤，用于计算搜索区域的能量函数的值; 以及倾斜角确定步骤，用于将具有最大或最小值的能量函数的搜索区域的倾斜角度确定为身体的倾斜角度。本发明的姿态估计方法包括：身体倾斜角取得步骤，用于获得身体的倾斜角; 以及姿势估计步骤，用于基于身体的倾斜角度来执行姿态估计。

6. 发明申请

US20120314078A1 OBJECT MONITORING APPARATUS AND METHOD THEREOF, CAMERA APPARATUS AND MONITORING SYSTEM 审中-公开
标题翻译：对象监控装置及其方法，摄像机和监控系统
公开(公告)号：US20120314078A1
公开(公告)日：2012-12-13
申请号：US13477378
申请日：2012-05-22
申请人： Liang LI , Weiguo Wu
发明人： Liang LI , Weiguo Wu
IPC分类号： H04N7/18 , G06K9/62
CPC分类号： G06T7/35 , G06T2207/10016 , G06T2207/10024 , G06T2207/20076 , G06T2207/30232
摘要： A method of monitoring an object in images captured by N camera apparatuses including: for an ith camera apparatus among the N camera apparatuses, obtaining respective first matching similarities of a specific object in an image captured by the ith camera apparatus with respect to one or more objects in an image captured by a jth camera apparatus respectively according to a pre-constructed feature conversion model between the camera apparatuses; and determining an object matching with the specific object in the image captured by the jth camera apparatus based on the respective first matching similarities to thereby monitor the specific object. There is further disclosed a method of performing an interactive operation of a related monitored object by using the foregoing monitoring method.
摘要翻译：一种监视由N台相机装置拍摄的图像中的物体的方法，包括：对于第N相机装置中的第i相机装置，获得由第i相机装置捕获的图像中的特定对象相对于一个或多个的各自的第一匹配相似度根据相机装置之间的预先构造的特征转换模型分别由第j相机装置拍摄的图像中的对象; 并且基于相应的第一匹配相似度，确定由第j个相机装置拍摄的图像中与特定对象匹配的对象，从而监视特定对象。还公开了通过使用上述监视方法来执行相关监视对象的交互操作的方法。

7. 发明申请

US20120057761A1 THREE DIMENSIONAL HUMAN POSE RECOGNITION METHOD AND APPARATUS 失效
标题翻译：三维人体识别方法和装置
公开(公告)号：US20120057761A1
公开(公告)日：2012-03-08
申请号：US13223593
申请日：2011-09-01
申请人： Liang LI , Weiguo Wu
发明人： Liang LI , Weiguo Wu
IPC分类号： G06K9/48 , G06K9/00
CPC分类号： G06K9/00369 , G06K9/00342
摘要： The present invention discloses a three dimensional human pose recognition method and apparatus, where the three dimensional human pose recognition method includes steps of: a three dimensional pose initial recognition step of performing three dimensional pose recognition on an input image containing a human image to obtain image-based three dimensional human pose information; a sensor information acquisition step of acquiring, by a motion sensor, motion information of human articulation points; and a three dimensional pose correction step of correcting, with the motion information acquired by the sensor information acquisition step, the image-based three dimensional human pose information recognized by the three dimensional pose initial recognition step. According to the technical solution of the invention, it is possible to improve accuracy of the three dimensional human pose recognition efficiently. Further, the present invention also discloses a three dimensional human pose recognition method and apparatus, in which three dimensional half-body pose recognition is proposed, thereby speed of three dimensional human pose recognition can be improved significantly while improving accuracy of three dimensional human pose recognition.
摘要翻译：本发明公开了一种三维人体姿态识别方法和装置，其中三维人体姿态识别方法包括以下步骤：对包含人体图像的输入图像执行三维姿态识别的三维姿势初始识别步骤，以获得图像三维人体姿态信息; 传感器信息获取步骤，通过运动传感器获取人类关节点的运动信息; 以及三维姿势校正步骤，通过由所述传感器信息获取步骤获取的运动信息，校正由所述三维姿势初始识别步骤识别的基于图像的三维人体姿势信息。根据本发明的技术方案，可以有效地提高三维人体姿态识别的准确性。此外，本发明还公开了一种三维人体姿态识别方法和装置，其中提出了三维半体姿态识别，从而可以显着提高三维人体姿态识别的速度，同时提高三维人体姿态识别的准确性。

8. 发明申请

US20110164788A1 METHOD AND DEVICE FOR DETERMINING LEAN ANGLE OF BODY AND POSE ESTIMATION METHOD AND DEVICE 失效
标题翻译：用于确定身体和姿势估计方法和装置的倾斜角的方法和装置
公开(公告)号：US20110164788A1
公开(公告)日：2011-07-07
申请号：US12986418
申请日：2011-01-07
申请人： Liang LI , Weiguo Wu
发明人： Liang LI , Weiguo Wu
IPC分类号： G06K9/00
CPC分类号： G06K9/00369 , G06T7/73 , G06T2207/10016 , G06T2207/30196
摘要： Provided are a method and device for determining a lean angle of a body and a pose estimation method and device. The method for determining a lean angle of a body of the present invention includes: a head-position obtaining step for obtaining a position of a head; a search region determination step for determining a plurality of search region spaced with an angle around the head; an energy function calculating step for calculating a value of an energy function for the search region; and a lean angle determining step for determining the lean angle of a search region with a largest or smallest value of the energy function as the lean angle of the body. The pose estimation method of the present invention includes a body lean-angle obtaining step, for obtaining a lean angle of a body; and a pose estimation step, for performing a pose estimation based on the lean angle of the body.
摘要翻译：提供了一种用于确定身体的倾斜角度的方法和装置以及姿势估计方法和装置。用于确定本发明的身体的倾斜角度的方法包括：头位置获取步骤，用于获得头部的位置; 搜索区域确定步骤，用于确定围绕头部以角度间隔开的多个搜索区域; 能量函数计算步骤，用于计算搜索区域的能量函数的值; 以及倾斜角确定步骤，用于将具有最大或最小值的能量函数的搜索区域的倾斜角度确定为身体的倾斜角度。本发明的姿态估计方法包括：身体倾斜角取得步骤，用于获得身体的倾斜角; 以及姿势估计步骤，用于基于身体的倾斜角度来执行姿态估计。

9. 发明授权

US08514940B2 Method and system for carrying out reliability classification for motion vectors in a video 有权
标题翻译：在视频中执行运动矢量的可靠性分类的方法和系统
公开(公告)号：US08514940B2
公开(公告)日：2013-08-20
申请号：US12715707
申请日：2010-03-02
申请人： Bo Han , Weiguo Wu
发明人： Bo Han , Weiguo Wu
IPC分类号： H04N7/12 , H04N11/02 , H04N11/04
CPC分类号： H04N19/567 , G06T7/223
摘要： A method and system for carrying out reliability classification for motion vectors in a video is proposed in the application. The method comprises: partitioning and searching step for partitioning a specified video frame of an input video, and searching motion vectors for a specified block of the specified video frame so as to generate a block matching error for the specified block; texture feature extracting step for extracting a texture feature of the specified block; and classifying-by-block step for carrying out reliability classification for the motion vectors for the specified block in accordance with the block matching error and the texture feature of the specified block.
摘要翻译：在应用中提出了一种用于在视频中执行运动矢量的可靠性分类的方法和系统。该方法包括：分割和搜索步骤，对输入视频的指定视频帧进行分割，以及搜索指定视频帧的指定块的运动矢量，以产生指定块的块匹配误差; 纹理特征提取步骤，用于提取指定块的纹理特征; 以及根据块匹配误差和指定块的纹理特征对指定块的运动矢量执行可靠性分类的逐块步骤。

10. 发明申请

US20120143363A1 AUDIO EVENT DETECTION METHOD AND APPARATUS 审中-公开
标题翻译：音频事件检测方法和设备
公开(公告)号：US20120143363A1
公开(公告)日：2012-06-07
申请号：US13312231
申请日：2011-12-06
申请人： Kun LIU , Weiguo Wu , Li Lu , Qingwei Zhao
发明人： Kun LIU , Weiguo Wu , Li Lu , Qingwei Zhao
IPC分类号： G06F17/00
CPC分类号： G10L15/02 , G10L25/51
摘要： An audio event detection method and apparatus based on the long-term feature is provided. The audio event detection method comprises the step: dividing the input audio stream into a series of slices; extracting the short-term features and the long-term features for each slice; and obtaining the classification result of the input audio stream based on the short-term features and the long-term features.
摘要翻译：提供了基于长期特征的音频事件检测方法和装置。音频事件检测方法包括以下步骤：将输入音频流分成一系列片段; 提取每个片段的短期特征和长期特征; 并基于短期特征和长期特征获得输入音频流的分类结果。

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