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
    • 3. 发明授权
    • Method and apparatus for personnel detection and tracking
    • 人员检测和跟踪的方法和装置
    • US06445810B2
    • 2002-09-03
    • US09726425
    • 2000-12-01
    • Trevor DarrellGaile GordonMichael HarvilleJohn WoodfillHarlyn Baker
    • Trevor DarrellGaile GordonMichael HarvilleJohn WoodfillHarlyn Baker
    • G06K900
    • G06K9/00362
    • Techniques from computer vision and computer graphics are combined to robustly track a target (e.g., a user) and perform a function based upon the image and/or the identity attributed to the target's face. Three primary modules are used to track a user's head: depth estimation, color segmentation, and pattern classification. The combination of these three techniques allows for robust performance despite unknown background, crowded conditions, and rapidly changing pose or expression of the user. Each of the modules can also provide an identity classification module with valuable information so that the identity of a user can be estimated. With an estimate of the position of a target in 3-D and the target's identity, applications such as individualized computer programs or graphics techniques to distort and/or morph the shape or apparent material properties of the user's face can be performed. The system can track and respond to a user's face in real-time using completely passive and non-invasive techniques.
    • 来自计算机视觉和计算机图形学的技术被组合以鲁棒地跟踪目标(例如,用户)并且基于归因于目标的脸部的图像和/或身份执行功能。 三个主要模块用于跟踪用户的头部:深度估计,颜色分割和模式分类。 尽管未知背景,拥挤状况以及用户快速变化的姿势或表情,这三种技术的组合也可以实现强大的性能。 每个模块还可以提供具有有价值信息的身份分类模块,以便可以估计用户的身份。 通过估计目标在3D中的位置和目标的身份,可以执行诸如个性化计算机程序或图形技术之类的应用程序来扭曲和/或变形用户脸部的形状或表观材料属性。 该系统可以使用完全无源和非侵入性技术实时跟踪和响应用户的脸部。
    • 6. 发明授权
    • Background estimation and segmentation based on range and color
    • 基于范围和颜色的背景估计和分割
    • US07317830B1
    • 2008-01-08
    • US10703393
    • 2003-11-07
    • Gaile GordonTrevor DarrellMichael HarvilleJohn Woodfill
    • Gaile GordonTrevor DarrellMichael HarvilleJohn Woodfill
    • G06K9/34
    • G06K9/38G06T7/11G06T7/143G06T7/174G06T7/194G06T2207/10021G06T2207/10028G06T2207/20224
    • Segmentation of background and foreground objects in an image is based upon the joint use of range and color data. Range-based data is largely independent of color image data, and hence not adversely affected by the limitations associated with color-based segmentation, such as shadows and similarly colored objects. Furthermore, color segmentation is complementary to range measurement in those cases where reliable range data cannot be obtained. These complementary sets of data are used to provide a multidimensional background estimation. The segmentation of a foreground object in a given frame of an image sequence is carried out by comparing the image frames with background statistics relating to range and normalized color, using the sets of statistics in a complementary manner. A background model is determined by estimating using a multidimensional histogram, recording pixel values, configuring the pixel values into a cluster, and selecting a largest cluster as representing the background model.
    • 图像中背景和前景对象的分割基于范围和颜色数据的联合使用。 基于范围的数据在很大程度上与彩色图像数据无关,因此不受与基于颜色的分割(例如阴影和类似彩色对象)相关联的限制的不利影响。 此外,在不能获得可靠范围数据的情况下,颜色分割与范围测量是互补的。 这些互补的数据集用于提供多维背景估计。 图像序列的给定帧中的前景对象的分割是通过将图像帧与范围和归一化颜色相关的背景统计数据进行比较,使用互补的统计量集进行的。 背景模型通过使用多维直方图估计,记录像素值,将像素值配置到聚类中,并选择最大的聚类来表示背景模型来确定。