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    • 1. 发明申请
    • METHOD AND APPARATUS FOR DETECTING AND SEPARATING OBJECTS OF INTEREST IN SOCCER VIDEO BY COLOR SEGMENTATION AND SHAPE ANALYSIS
    • 通过颜色分类和形状分析检测和分离人脸视频中的兴趣对象的方法和装置
    • WO2010080687A1
    • 2010-07-15
    • PCT/US2010/000014
    • 2010-01-05
    • THOMSON LICENSINGHUANG, YuLLACH, Joan
    • HUANG, YuLLACH, Joan
    • G06K9/46
    • G06K9/00718G06K9/00724G06K9/00744
    • Substantial elimination of errors in the detection and location of overlapping human objects in an image of a playfield is achieved, in accordance with at least one aspect of the invention, by performing a predominately shape-based analysis of one or more characteristics obtained from a specified portion of the candidate non-playfield object, by positioning a human object model substantially over the specified portion of the candidate non-playfield object in accordance with information based at least in part on information from the shape-based analysis, and removing an overlapping human object from the portion of the candidate non-playfield object identified by the human object model. In one exemplary embodiment, the human object model is an ellipse whose major and minor axes are variable in relation to one or more characteristics identified from the specified portion of the candidate non-playfield object.
    • 根据本发明的至少一个方面,通过基于形状的分析来实现从指定的图像中获得的一个或多个特征,从而实现了重叠的人类对象在场景图像中的检测和定位中的错误的显着消除 通过至少部分地基于来自基于形状的分析的信息的信息,基于基于形状的分析的信息的信息将人体对象模型基本上定位在候选非播放对象的指定部分上,并且去除重叠的人 来自由人类对象模型识别的候选非玩游戏对象的部分的对象。 在一个示例性实施例中,人体对象模型是椭圆,其主轴和短轴相对于从候选非播放对象的指定部分识别的一个或多个特性是可变的。
    • 3. 发明申请
    • DYNAMIC STATE ESTIMATION
    • 动态状态估计
    • WO2008039217A1
    • 2008-04-03
    • PCT/US2006/048339
    • 2006-12-19
    • THOMSON LICENSINGHUANG, YuLLACH, Joan
    • HUANG, YuLLACH, Joan
    • G06F17/50G06T7/20
    • G06F17/5009G06F2217/16G06T7/277G06T2207/10016G06T2207/30221G06T2207/30224G06T2207/30241
    • According to an implementation, a set of particles is provided for use in estimating a location of a state of a dynamic system (1010). A local-mode seeking mechanism is applied to move one or more particles in the set of particles (1020), and the number of particles in the set of particles is modified (1030). The location of the state of the dynamic system is estimated using particles in the set of particles (1040). Another implementation provides dynamic state estimation using a particle filter (565) for which the particle locations are modified using a local-mode seeking algorithm based on a mean-shift analysis (610) and for which the number of particles is adjusted using a Kullback-Leibler-distance sampling process (830-860). The mean-shift analysis may reduce degeneracy in the particles, and the sampling process may reduce the computational complexity of the particle filter. The implementation may be useful with non-linear and non-Gaussian systems.
    • 根据实施方式,提供一组粒子用于估计动态系统的状态的位置(1010)。 应用本地模式搜索机制来移动该组粒子(1020)中的一个或多个粒子,并且修改该组粒子中的粒子数(1030)。 使用该组粒子(1040)中的粒子来估计动态系统状态的位置。 另一种实施方案使用使用基于平均移位分析(610)的局部模式搜索算法来修改粒子位置的粒子滤波器(565)提供动态状态估计,并且使用Kullback- 莱比勒距离抽样程序(830-860)。 均值分析可以减少粒子的退化,采样过程可能会降低粒子滤波器的计算复杂度。 该实现对于非线性和非高斯系统可能是有用的。
    • 4. 发明申请
    • DEPTH-IMAGE-BASED RENDERING
    • 深度图像渲染
    • WO2009091563A1
    • 2009-07-23
    • PCT/US2009/000245
    • 2009-01-15
    • THOMSON LICENSINGHUANG, YuLLACH, Joan
    • HUANG, YuLLACH, Joan
    • H04N13/00
    • H04N19/105G06T7/194G06T7/579G06T15/205G06T2207/10016G06T2207/20081H04N19/107H04N19/109H04N19/17H04N19/20H04N19/553H04N19/597H04N19/61
    • Various implementations are described. Several implementations relate to depth-image-based rendering. Many of these implementations use temporal information in synthesizing an image. For example, temporal information may be used to generate a background layer for a warped image, and then the background layer may be blended with the main layer. One method includes accessing information from a reference image (1005). The reference image is for a reference view at a particular time. Information from a second image is accessed (1010). The second image is for a different time than the particular time. An additional image is created based on the information from the reference image and on the information from the second image (1015). The additional image is for an additional view that is different from the reference view and being for the particular time.
    • 描述各种实施方式。 几个实现涉及基于深度图像的渲染。 这些实现中的许多在合成图像中使用时间信息。 例如,可以使用时间信息来生成用于翘曲图像的背景层,然后可以将背景层与主层混合。 一种方法包括从参考图像(1005)访问信息。 参考图像是在特定时间的参考图。 来自第二图像的信息被访问(1010)。 第二张图像是与特定时间不同的时间。 基于来自参考图像的信息和来自第二图像的信息,创建附加图像(1015)。 额外的图像是与参考视图不同的附加视图,并且在特定时间内。