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    • 13. 发明申请
    • SYSTEM AND METHOD FOR VISUAL MOTION BASED OBJECT SEGMENTATION AND TRACKING
    • 基于视觉运动的对象分类与跟踪系统与方法
    • US20140334668A1
    • 2014-11-13
    • US13891653
    • 2013-05-10
    • PALO ALTO RESEARCH CENTER INCORPORATED
    • Eric Saund
    • G06T7/20
    • G06T7/20B64C39/024B64C2201/127B64D47/08G06T7/215G06T7/246G06T2207/10032G06T2207/30236G06T2207/30252G06T2207/30256
    • The PMP Growth algorithm described herein provides for image tracking, segmentation and processing in environments where the camera system moves around a great deal, i.e., causing image jumps from one image frame to the next. It also is operative in systems where the objects themselves are making quick movements that alter their path. Attributes of the PMP Growth algorithm allow tracking systems using the PMP Growth algorithm to follow objects a long distance in a scene. This detection and tracking method is designed to track objects within a sequence of video image frames, and includes detecting keypoints in a current image frame of the video image frames, assigning local appearance features to the detected keypoints, establishing Point-Motion-Pairs between two successive image frames of the video image frames, and accumulating additional matches between image locations to form complete coherent motion object models of the objects being tracked. The segmentation aspect permits for the discovery of different coherently moving regions in the images.
    • 本文描述的PMP生长算法提供了在相机系统大量移动的环境中的图像跟踪,分割和处理,即使图像从一个图像帧跳到下一个图像帧。 它也可以在物体本身正在快速移动以改变其路径的系统中运行。 PMP成长算法的属性允许使用PMP Growth算法的跟踪系统在场景中跟踪对象长距离。 该检测和跟踪方法被设计为跟踪视频图像帧序列内的对象,并且包括检测视频图像帧的当前图像帧中的关键点,将检测到的关键点分配局部外观特征,在两个之间建立点运动对 视频图像帧的连续图像帧,以及在图像位置之间累积附加匹配,以形成被跟踪对象的完整的相干运动对象模型。 分割方面允许在图像中发现不同的相干移动区域。
    • 15. 发明授权
    • System and method for visual motion based object segmentation and tracking
    • 基于视觉运动的物体分割和跟踪的系统和方法
    • US09025825B2
    • 2015-05-05
    • US13891653
    • 2013-05-10
    • Palo Alto Research Center Incorporated
    • Eric Saund
    • G06K9/00G06T7/20
    • G06T7/20B64C39/024B64C2201/127B64D47/08G06T7/215G06T7/246G06T2207/10032G06T2207/30236G06T2207/30252G06T2207/30256
    • The PMP Growth algorithm described herein provides for image tracking, segmentation and processing in environments where the camera system moves around a great deal, i.e., causing image jumps from one image frame to the next. It also is operative in systems where the objects themselves are making quick movements that alter their path. Attributes of the PMP Growth algorithm allow tracking systems using the PMP Growth algorithm to follow objects a long distance in a scene. This detection and tracking method is designed to track objects within a sequence of video image frames, and includes detecting keypoints in a current image frame of the video image frames, assigning local appearance features to the detected keypoints, establishing Point-Motion-Pairs between two successive image frames of the video image frames, and accumulating additional matches between image locations to form complete coherent motion object models of the objects being tracked. The segmentation aspect permits for the discovery of different coherently moving regions in the images.
    • 本文描述的PMP生长算法提供了在相机系统大量移动的环境中的图像跟踪,分割和处理,即使图像从一个图像帧跳到下一个图像帧。 它也可以在物体本身正在快速移动以改变其路径的系统中运行。 PMP成长算法的属性允许使用PMP Growth算法的跟踪系统在场景中跟踪对象长距离。 该检测和跟踪方法被设计为跟踪视频图像帧序列内的对象,并且包括检测视频图像帧的当前图像帧中的关键点,将检测到的关键点分配局部外观特征,在两个之间建立点运动对 视频图像帧的连续图像帧,以及在图像位置之间累积附加匹配,以形成被跟踪对象的完整的相干运动对象模型。 分割方面允许在图像中发现不同的相干移动区域。
    • 16. 发明申请
    • METHOD AND SYSTEM FOR ENHANCED INFERRED MODE USER INTERFACE OPERATIONS
    • 用于增强模式用户界面操作的方法和系统
    • US20150121305A1
    • 2015-04-30
    • US14063002
    • 2013-10-25
    • Palo Alto Research Center Incorporated
    • Eric SaundJames V. MahoneyWilliam C. Janssen, JR.
    • G06F3/0484G06F3/0488
    • G06Q10/107
    • A method and system is provided for the input of user interface commands. Particularly, command initiation events including at least one of: (i) a mouse press event on mouse pointer hardware, and (ii) at least one of a pen touch event, a stylus touch event, and a finger touch event on touch pointer hardware, are accepted. Then gesture stroke input events including at least one of: (i) a mouse drag event on the mouse pointer hardware, and (ii) at least one of a pen drag event, a stylus drag event and a finger drag event on the touch pointer hardware, are accepted. Additionally, command termination events including at least one of (i) a mouse release event on the mouse pointer hardware, and (ii) at least one of a pen lift event, a stylus lift event and a finger lift event on the touch pointer hardware, are accepted. The events are then interpreted as at least one of object selection or digital ink input operations without prior selection of a user input mode.
    • 提供了一种用于输入用户界面命令的方法和系统。 特别地,命令启动事件包括以下中的至少一个:(i)鼠标指针硬件上的鼠标按压事件,以及(ii)触摸指针硬件上的笔触摸事件,触笔触摸事件和手指触摸事件中的至少一个 ,被接受。 然后,手势笔画输入事件包括以下中的至少一个:(i)鼠标指针硬件上的鼠标拖动事件,以及(ii)触摸指示器上的笔拖动事件,触笔拖动事件和手指拖动事件中的至少一个 硬件,被接受。 另外,指令终止事件包括(i)鼠标指针硬件上的鼠标释放事件中的至少一个,以及(ii)触摸指针硬件上的笔提示事件,触控笔提升事件和手指提升事件中的至少一个 ,被接受。 然后将事件解释为目标选择或数字墨水输入操作中的至少一个,而无需事先选择用户输入模式。
    • 17. 发明授权
    • Efficient globally optimal interpretation of documents
    • 有效的全球最佳解读文件
    • US08972425B2
    • 2015-03-03
    • US13799568
    • 2013-03-13
    • Palo Alto Research Center Incorporated
    • Christina PavlopoulouEvgeniy BartEric Saund
    • G06F17/30
    • G06F17/2715G06F17/2294
    • A method is provided for parsing a document having a plurality of lines on which items are listed spanning one or more lines. It includes: obtaining a plurality of candidates, representing hypothetical items within the document, each candidate spanning one or more lines and having a local cost representing a confidence in a quality of the candidate compared to a model; determining labeling costs for intervals of the document defined between pairs of lines, each interval containing candidates therein, each labeling cost reflecting a configuration of the candidates within the interval; identifying a best labeling for each interval based on the labeling costs determined for that interval, the best labeling corresponding to one of the configurations of the candidates within the interval; defining a global objective function; and selecting a subset of the candidates such that the global objective function is optimized, based on the identified best labelings.
    • 提供了一种用于解析具有多个行的文档的方法,其中列出了跨越一行或多行的项目。 它包括:获得多个候选人,代表文档内的假想项目,跨越一行或多行的每个候选人并且具有表示与模型相比候选者的质量的置信度的本地成本; 确定在线对之间定义的文档的间隔的标签成本,每个间隔包含其中的候选,每个标签成本反映该间隔内候选的配置; 基于为该间隔确定的标签成本,确定每个间隔的最佳标签,对应于间隔内的候选者的配置之一的最佳标签; 定义全局目标函数; 以及基于所识别的最佳标签来选择所述候选的子集,使得全局目标函数被优化。
    • 19. 发明申请
    • EFFICIENT GLOBALLY OPTIMAL INTERPRETATION OF DOCUMENTS
    • 有效的全面的文件解释
    • US20140280078A1
    • 2014-09-18
    • US13799568
    • 2013-03-13
    • PALO ALTO RESEARCH CENTER INCORPORATED
    • Christina PavlopoulouEvgeniy BartEric Saund
    • G06F17/30
    • G06F17/2715G06F17/2294
    • A method is provided for parsing a document having a plurality of lines on which items are listed spanning one or more lines. It includes: obtaining a plurality of candidates, representing hypothetical items within the document, each candidate spanning one or more lines and having a local cost representing a confidence in a quality of the candidate compared to a model; determining labeling costs for intervals of the document defined between pairs of lines, each interval containing candidates therein, each labeling cost reflecting a configuration of the candidates within the interval; identifying a best labeling for each interval based on the labeling costs determined for that interval, the best labeling corresponding to one of the configurations of the candidates within the interval; defining a global objective function; and selecting a subset of the candidates such that the global objective function is optimized, based on the identified best labelings.
    • 提供了一种用于解析具有多个行的文档的方法,其中列出了跨越一行或多行的项目。 它包括:获得多个候选人,代表文档内的假想项目,跨越一行或多行的每个候选人,并且具有表示候选人与模型相比质量的置信度的本地成本; 确定在线对之间定义的文档的间隔的标签成本,每个间隔包含其中的候选,每个标签成本反映该间隔内候选的配置; 基于为该间隔确定的标签成本,确定每个间隔的最佳标签,对应于间隔内的候选者的配置之一的最佳标签; 定义全局目标函数; 以及基于所识别的最佳标签来选择所述候选的子集,使得全局目标函数被优化。