会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 1. 发明授权
    • Method of and apparatus for classifying image
    • 图像分类方法和设备
    • US08577152B2
    • 2013-11-05
    • US13040912
    • 2011-03-04
    • Lun ZhangWeiguo Wu
    • Lun ZhangWeiguo Wu
    • G06K9/46
    • G06K9/46
    • A method and apparatus that classify an image. The method extracts a feature vector from the image, wherein the feature vector includes a plurality of first features. The extracting of each of the first features includes: acquiring a difference between sums or mean values of pixels of the plurality of first areas in the corresponding combination to obtain a first difference vector in the direction of the first axis, and obtaining a second difference vector in the direction of the second axis. A first projection difference vector is acquired with a second projection difference vector. A sum of magnitudes of the first projection difference vector and the second projection difference vector as the first feature is obtained; and the image according to the extracted feature vector is classified.
    • 对图像进行分类的方法和装置。 该方法从图像中提取特征向量,其中特征向量包括多个第一特征。 提取每个第一特征包括:获取相应组合中的多个第一区域的像素的和值或平均值之间的差以获得第一轴方向上的第一差分矢量,并获得第二差矢量 在第二轴的方向上。 用第二投影差矢量获取第一投影差矢量。 获得作为第一特征的第一投影差矢量和第二投影差矢量的大小的和; 并且根据提取的特征向量的图像被分类。
    • 2. 发明申请
    • ABNORMAL BEHAVIOR DETECTING APPARATUS AND METHOD THEREOF, AND VIDEO MONITORING SYSTEM
    • 异常行为检测装置及其方法及视频监控系统
    • US20120314064A1
    • 2012-12-13
    • US13477330
    • 2012-05-22
    • Zhou LIUWeiguo Wu
    • Zhou LIUWeiguo Wu
    • H04N7/18
    • G06K9/00771
    • The disclosure provides abnormal behavior detecting apparatus and method. The apparatus may include: an extracting device configured to extract, from a video segment to be detected, an image block sequence containing a plurality of image blocks corresponding to a moving range of an object in each image frame in the video segment; a feature calculating device configured to calculate motion vector features of the image block sequence; and an abnormal behavior detecting device comprising two or more stages of classifiers that are connected in series. The classifiers are configured to receive the image block sequence and the motion vector features stage by stage and detect the abnormal behavior of the object. If a previous stage of classifier determines that the to image block sequence contains an abnormal behavior, a next stage of classifier further receives and detects the image block sequence, until last stage of classifier.
    • 本发明提供了异常行为检测装置和方法。 该装置可以包括:提取装置,被配置为从要检测的视频片段中提取包含与视频段中的每个图像帧中的对象的移动范围相对应的多个图像块的图像块序列; 被配置为计算所述图像块序列的运动矢量特征的特征计算装置; 以及异步行为检测装置,其包括串联连接的两级以上分级器。 分类器被配置为逐个接收图像块序列和运动矢量特征,并检测对象的异常行为。 如果分类器的前一级确定到图像块序列包含异常行为,则分类器的下一级还接收并检测图像块序列,直到分类器的最后阶段。
    • 3. 发明申请
    • METHOD AND APPARATUS FOR EVALUATING HUMAN POSE RECOGNITION TECHNOLOGY
    • 用于评估人员识别技术的方法和装置
    • US20120195474A1
    • 2012-08-02
    • US13362236
    • 2012-01-31
    • Liang LIWeiguo Wu
    • Liang LIWeiguo Wu
    • G06K9/62
    • G06K9/6262
    • 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.
    • 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
    • DEVICE AND METHOD FOR MULTICLASS OBJECT DETECTION
    • 用于多目标对象检测的装置和方法
    • US20120089545A1
    • 2012-04-12
    • US13257617
    • 2010-03-23
    • Shuqi MeiWeiguo Wu
    • Shuqi MeiWeiguo Wu
    • G06F15/18
    • G06K9/6257
    • The present invention provides a device and method for multiclass object detection, wherein the detection device includes: an input unit configured to input data to be detected; and a joint classifier within which a plurality of strong classifiers capable of processing multiclass object data are included, wherein each of the strong classifiers is acquired by adding a set of weak classifiers together, and each weak classifiers performs a weak classification for the data to be detected by using a feature. A list of shared features is included within the joint classifier, and each feature within the list is shared by one or more weak classifiers belonging to different strong classifiers respectively; and the weak classifiers, which use a same feature and belong to different strong classifiers respectively, have different parameter values from one another.
    • 本发明提供一种用于多类对象检测的装置和方法,其中检测装置包括:输入单元,被配置为输入待检测的数据; 以及联合分类器,其中包括能够处理多类对象数据的多个强分类器,其中通过将一组弱分类器相加在一起来获取每个强分类器,并且每个弱分类器对数据执行弱分类 通过使用特征检测。 共享特征列表包含在联合分类器中,列表中的每个特征分别由属于不同强分类器的一个或多个弱分类器共享; 并且分别使用相同特征并且属于不同强分类器的弱分类器具有彼此不同的参数值。
    • 5. 发明授权
    • Combined waterwheel oxygen-increasing machine
    • 水车增氧机组合
    • US07997564B2
    • 2011-08-16
    • US11969420
    • 2008-01-04
    • Weiguo Wu
    • Weiguo Wu
    • B01F3/04
    • B01F3/04765B01F7/001B01F7/00125B01F7/00141B01F7/00308B01F7/00633B01F13/0049B01F2215/0052
    • The combined waterwheel oxygen-increasing machine pertains to the area of life-saving and facilitation equipment in aquaculture development. The existing waterwheel oxygen-increasing machine is a floating body with brackets integrally connected, inconvenient for assembly and disassembly and for general use. The present invention comprises of floating bodies, a power device, a reduction gearbox and impellers, wherein the power device is connected to a reduction gearbox, which then drives said impellers via an output shaft. The floating bodies are hollow, closed, bodies including longitudinal floating bodies and transversal floating body connected vertically with each other, wherein one end of the longitudinal floating bodies are connected to transversal floating body. The floating bodies bear an output shaft. The impellers are located in the midst of the area surrounded by the longitudinal floating bodies and the transversal floating body. Moreover, said impellers are overlapping impellers connected in a series by a plurality of single impeller bodies.
    • 水车增氧机组合在一起,涉及水产养殖发展的救生设备和辅助设备。 现有的水车增氧机是一个浮动体,支架整体连接,不方便组装和拆卸,一般使用。 本发明包括浮体,动力装置,减速齿轮箱和叶轮,其中动力装置连接到减速齿轮箱,然后减速齿轮箱通过输出轴驱动所述叶轮。 浮体是中空的,封闭的,包括彼此垂直连接的纵向浮体和横向浮体的主体,其中纵向浮体的一端连接到横向浮体。 浮体承载输出轴。 叶轮位于由纵向浮体和横向浮体围绕的区域中间。 此外,所述叶轮是由多个单个叶轮体串联连接的重叠叶轮。
    • 6. 发明授权
    • Image processing apparatus and method
    • 图像处理装置及方法
    • US07957581B2
    • 2011-06-07
    • US10996521
    • 2004-11-24
    • Weiguo Wu
    • Weiguo Wu
    • G06K9/00G06K9/32H04N17/02
    • H04N7/144G06T7/593G06T7/97G06T2207/20228
    • Directions normal to images of an object captured by at least two cameras from different points of view are aligned with each other to form corrected object images, and a correspondence is determined between at least one pixel position on a horizontal line in one of the corrected object images and at least one pixel position on the same horizontal line in another of the corrected object images. The correspondence is determined by determining a similarity in brightness and color components at the pixel positions and a parallax between the corrected object images A robust, accurate image matching can be done by making dynamic matching between all pixels on a scan line in the images captured by the cameras.
    • 由至少两个摄像机从不同观点拍摄的物体的图像垂直的方向彼此对准以形成校正的对象图像,并且在校正对象之一上的水平行上的至少一个像素位置之间确定对应关系 图像和在另一个经校正的对象图像中的同一水平线上的至少一个像素位置。 通过确定像素位置处的亮度和颜色分量的相似度以及校正的对象图像之间的视差来确定对应关系。可以通过在通过以下步骤捕获的图像中的扫描线上的所有像素之间进行动态匹配来进行鲁棒,准确的图像匹配 相机。
    • 7. 发明申请
    • SHOT TRANSITION DETECTION METHOD AND APPARATUS
    • SHOT过渡检测方法和装置
    • US20110063453A1
    • 2011-03-17
    • US12882639
    • 2010-09-15
    • Bo HANWeiguo Wu
    • Bo HANWeiguo Wu
    • H04N17/00
    • G11B27/28
    • The present invention discloses a shot transition detection method and a shot transition detection apparatus. The shot transition detection method includes an inter-frame feature differential sequence generation step of generating a plurality of inter-frame feature differential sequences with different differential scales based on a video, wherein lengths of at least two inter-frame feature differential sequences of the plurality of inter-frame feature differential sequences are greater than or equal to 2; and a shot transition detection step of detecting a shot transition in the video by an association of the plurality of inter-frame feature differential sequences. The present invention is capable of detecting a shot transition in a video effectively.
    • 本发明公开了一种镜头转换检测方法和镜头转换检测装置。 镜头转换检测方法包括:帧间特征差分序列生成步骤,其基于视频生成具有不同差分缩放度的多个帧间特征差分序列,其中多个帧中的至少两个帧间特征差异序列的长度 的帧间特征差分序列大于或等于2; 以及镜头转换检测步骤,通过所述多个帧间特征差分序列的关联来检测所述视频中的镜头转换。 本发明能够有效地检测视频中的镜头转换。
    • 8. 发明申请
    • METHOD AND DEVICE OF DETECTING OBJECT IN IMAGE AND SYSTEM INCLUDING THE DEVICE
    • 检测物体在包含装置的图像和系统中的方法和装置
    • US20100272366A1
    • 2010-10-28
    • US12761778
    • 2010-04-16
    • Long MENGWeiguo Wu
    • Long MENGWeiguo Wu
    • G06K9/46
    • G06K9/4642G06K9/00369G06K9/34G06K9/6857
    • The present invention provides a method for detecting a specific object in an image to be detected, including: a feature extraction step for extracting an image feature of the image to be detected; and a detection step for detecting detection windows with various sizes of the image to be detected according to the extracted image feature by using classifiers with various sizes corresponding to at least a part of the detection windows with various sizes, so as to determine the presence and location of a specific object in the image to be detected. The invention further provides an object detection device and a system including the device. The method, device and system for detecting a specific object in an image to be detected can improve the precision and increase the speed of the object detection.
    • 本发明提供一种用于检测要检测的图像中的特定对象的方法,包括:特征提取步骤,用于提取要检测的图像的图像特征; 以及检测步骤,用于通过使用对应于具有各种尺寸的检测窗口的至少一部分的各种尺寸的分类器,根据提取的图像特征来检测要检测的图像的各种大小的检测窗口,以便确定存在和 要检测的图像中特定对象的位置。 本发明还提供了一种物体检测装置和包括该装置的系统。 用于检测要检测的图像中的特定对象的方法,装置和系统可以提高对象检测的精度并提高对象检测的速度。
    • 9. 发明申请
    • MOVING IMAGE ANALYZING APPARATUS, METHOD AND SYSTEM
    • 移动图像分析装置,方法和系统
    • US20080310727A1
    • 2008-12-18
    • US12139915
    • 2008-06-16
    • Weiguo WuTakayuki YoshigaharaBo HanYichuan Hu
    • Weiguo WuTakayuki YoshigaharaBo HanYichuan Hu
    • G06K9/46
    • G06K9/00711G06F17/3079G06F17/30802G06F17/30811G06F17/30843H04N5/147
    • The present invention provides a moving image analyzing apparatus, method and system. The moving image analyzing apparatus comprises a moving image reading means for reading a moving image, a region-of-interest extracting means for extracting a region-of-interest from each frame in the moving image, an object feature extracting means for extracting an object feature in the region-of-interest or a region adjacent to the region-of-interest, and a shot change detecting means for detecting a shot change on the basis of the color feature of image, the object feature of the region-of-interest, and the differences of the motion information among the images of each frame. By estimating the reliability of the motion information within an image, the present invention can eliminate the shot change which is incorrectly detected according to the color distribution feature and the dimensional feature of the region-of-interest, thereby improving the detection accuracy of shot change.
    • 本发明提供一种运动图像分析装置,方法和系统。 运动图像分析装置包括用于读取运动图像的运动图像读取装置,用于从运动图像中的每个帧中提取感兴趣区域的兴趣区域提取装置,用于提取对象的对象特征提取装置 特征在感兴趣区域或与感兴趣区域相邻的区域,以及镜头变化检测装置,用于基于图像的颜色特征来检测镜头变化,该区域的对象特征, 感兴趣,以及各帧的图像之间的运动信息的差异。 通过估计图像内的运动信息的可靠性,本发明可以消除根据颜色分布特征和感兴趣区域的维度特征错误地检测到的镜头变化,从而提高镜头变化的检测精度 。
    • 10. 发明授权
    • Three-dimensional-picture-generating apparatus, three-dimensional-picture-generating method and program-presenting medium
    • 三维图像生成装置,三维图像生成方法和节目呈现介质
    • US06744441B2
    • 2004-06-01
    • US09898342
    • 2001-07-03
    • Weiguo WuAtsushi YokoyamaHiroyuki Sato
    • Weiguo WuAtsushi YokoyamaHiroyuki Sato
    • G09G500
    • G03B35/00
    • A texture picture with a highest resolution is selected among a plurality of pictures taken from different points of view for each patch surface, and texture mapping is carried out by pasting a texture picture selected for a patch surface on the patch surface. Then, processing is carried out to correct differences in concentration, which are caused by differences in beam-source condition, between pictures or between patch surfaces. As the correction processing, inter-frame picture-concentration-value correction, inter-patch texture-picture-shift correction and inter-patch boundary concentration smoothing correction are performed to allow texture mapping with a high picture quality to be carried out to produce a three-dimensional picture having a high quality. It is thus possible to provide a texture mapping technique capable of producing a three-dimensional picture having a high picture quality.
    • 从针对每个贴片表面的不同观点拍摄的多个图像中选择具有最高分辨率的纹理图像,并且通过将对于贴片表面选择的纹理图像粘贴在贴片表面上来进行纹理映射。 然后,进行处理以校正由图像之间或贴片表面之间的光束源条件的差异引起的浓度差异。 作为校正处理,执行帧间图像浓度值校正,斑块间纹理图像移位校正和斑块间边界浓度平滑校正,以允许执行具有高图像质量的纹理映射以产生 具有高质量的三维图片。 因此,可以提供能够产生具有高图像质量的三维图像的纹理映射技术。