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    • 1. 发明申请
    • Smart task-driven video collection
    • 智能任务驱动的视频采集
    • US20070222553A1
    • 2007-09-27
    • US11649393
    • 2007-01-03
    • Ser-Nam LimAnurag MittalLarry Davis
    • Ser-Nam LimAnurag MittalLarry Davis
    • G05B15/00
    • H04N5/232H04N5/247H04N7/181H04N7/188
    • A multi-camera system that collects images and videos of moving objects in dynamic and crowded scenes, subject to task constraints is disclosed. The system constructs “task visibility intervals” comprising information about what can be sensed in future time intervals. Methods for constructing these intervals applying prediction of future object motion and including consideration of factors such as object occlusion and camera control parameters are also disclosed. Using a plane-sweep algorithm, these atomic intervals can be combined in a method to form multi-task intervals, during which a single camera can collect videos suitable for multiple tasks simultaneously. Methods for fast camera scheduling that yield solutions within a small constant factor of an optimal solution are also disclosed.
    • 公开了一种多摄像机系统,其收集在动态和拥挤场景中移动物体的图像和视频,受任务约束。 该系统构造“任务可见性间隔”,其包括关于在将来的时间间隔中可以感测的内容的信息。 还公开了构建这些间隔的方法,其中应用对未来物体运动的预测并且包括考虑诸如物体遮挡和照相机控制参数之类的因素。 使用平面扫描算法,这些原子间隔可以在一个方法中组合以形成多任务间隔,在此期间,单个相机可以同时收集适合多个任务的视频。 还公开了在最佳解决方案的小常数因子内产生解决方案的快速摄像机调度方法。
    • 2. 发明授权
    • Smart task-driven video collection
    • 智能任务驱动的视频采集
    • US07961215B2
    • 2011-06-14
    • US11649393
    • 2007-01-03
    • Ser-Nam LimAnurag MittalLarry Davis
    • Ser-Nam LimAnurag MittalLarry Davis
    • H04N7/18G05B15/00
    • H04N5/232H04N5/247H04N7/181H04N7/188
    • A multi-camera system that collects images and videos of moving objects in dynamic and crowded scenes, subject to task constraints is disclosed. The system constructs “task visibility intervals” comprising information about what can be sensed in future time intervals. Methods for constructing these intervals applying prediction of future object motion and including consideration of factors such as object occlusion and camera control parameters are also disclosed. Using a plane-sweep algorithm, these atomic intervals can be combined in a method to form multi-task intervals, during which a single camera can collect videos suitable for multiple tasks simultaneously. Methods for fast camera scheduling that yield solutions within a small constant factor of an optimal solution are also disclosed.
    • 公开了一种多摄像机系统,其收集在动态和拥挤场景中移动物体的图像和视频,受任务约束。 该系统构造“任务可见性间隔”,其包括关于在将来的时间间隔中可以感测的内容的信息。 还公开了构建这些间隔的方法,其中应用对未来物体运动的预测并且包括考虑诸如物体遮挡和照相机控制参数之类的因素。 使用平面扫描算法,这些原子间隔可以在一个方法中组合以形成多任务间隔,在此期间,单个相机可以同时收集适合多个任务的视频。 还公开了在最佳解决方案的小常数因子内产生解决方案的快速摄像机调度方法。
    • 3. 发明授权
    • System and method for fast illumination-invariant background subtraction using two views
    • 使用两个视图快速照明不变背景减法的系统和方法
    • US07512250B2
    • 2009-03-31
    • US11282513
    • 2005-11-18
    • Ser-Nam LimAnurag MittalLarry Davis
    • Ser-Nam LimAnurag MittalLarry Davis
    • G06K9/00
    • G06K9/00771G06T7/254G06T7/97
    • A method for eliminating errors in foreground object detection in digitized images comprises providing a reference camera and a secondary camera, vertically aligning each said camera with a baseline that is approximately perpendicular to a ground plane, wherein said reference camera is placed lower than said secondary camera, selecting a foreground pixel in a reference view of a first point in a foreground object, finding a conjugate pixel of the foreground pixel in a secondary view, using the foreground and conjugate pixels to determine an image base pixel of a base point in the reference view, wherein said base point is a point on the ground plane below the first point, and using the foreground and image base pixels to find a location where the ground plane is first visible.
    • 一种用于消除数字化图像中的前景物体检测中的错误的方法,包括:提供参考相机和辅助照相机,使每个所述相机垂直地对准每个所述相机与大约垂直于接地平面的基线,其中所述参考相机被放置成低于所述辅助照相机 ,在前景对象中的第一点的参考视图中选择前景像素,使用前景和共轭像素找到次视图中的前景像素的共轭像素,以确定参考中的基点的图像基像素 其中所述基点是位于第一点下方的接地平面上的点,并且使用前景和图像基像素来找到地平面首先可见的位置。
    • 6. 发明申请
    • MODELING MEMORY CELL SKEW SENSITIVITY
    • 建模记忆细胞灵敏度
    • US20130332136A1
    • 2013-12-12
    • US13490096
    • 2012-06-06
    • Bipul C. PaulRandy W. MannAnurag Mittal
    • Bipul C. PaulRandy W. MannAnurag Mittal
    • G06G7/62
    • G06F17/5063G06F17/5036
    • A method includes designating a cell mismatch parameter of a memory cell including a plurality of transistors and an initial value of a transistor mismatch parameter for each of the plurality of transistors. A critical current sensitivity parameter is determined for each of the plurality of transistors based on the transistor mismatch parameters in a computing apparatus. The cell mismatch parameter is distributed across the plurality of transistors in the computing apparatus to update the individual transistor mismatch parameters for each of the plurality of transistors based on the critical current sensitivity parameters and the cell mismatch parameter. The memory cell is simulated based on the individual transistor mismatch parameters to generate a simulation result.
    • 一种方法包括指定包括多个晶体管的存储单元的单元不匹配参数以及多个晶体管中的每一个的晶体管失配参数的初始值。 基于计算装置中的晶体管失配参数,为多个晶体管中的每一个确定临界电流灵敏度参数。 单元不匹配参数分布在计算设备中的多个晶体管上,以基于临界电流灵敏度参数和单元不匹配参数来更新多个晶体管中的每一个的各个晶体管失配参数。 基于单个晶体管失配参数来模拟存储单元以产生模拟结果。
    • 7. 发明申请
    • ERROR PROPOGATION AND VARIABLE-BANDWIDTH MEAN SHIFT FOR FEATURE SPACE ANALYSIS
    • 特征空间分析的误差推导和可变带宽平均移位
    • US20090148046A1
    • 2009-06-11
    • US12198349
    • 2008-08-26
    • Benedicte BascleDorin ComaniciuAnurag MittalVisvanathan Ramesh
    • Benedicte BascleDorin ComaniciuAnurag MittalVisvanathan Ramesh
    • G06K9/46
    • G06K9/4633G06K9/3233
    • The present invention comprises using error propagation for building feature spaces with variable uncertainty and using variable-bandwidth mean shift for the analysis of such spaces, to provide peak detection and space partitioning. The invention applies these techniques to construct and analyze Hough spaces for line and geometrical shape detection, as well as to detect objects that are represented by peaks in the Hough space. This invention can be further used for background modeling by taking into account the uncertainty of the transformed image color and uncertainty of the motion flow. Furthermore, the invention can be used to segment video data in invariant spaces, by propagating the uncertainty from the original space and using the variable-bandwidth mean shift to detect peaks. The invention can be used in a variety of applications such as medical, surveillance, monitoring, automotive, augmented reality, and inspection.
    • 本发明包括使用用于构建具有可变不确定性的特征空间的误差传播,并且使用可变带宽平均移位来分析这样的空间,以提供峰值检测和空间划分。 本发明应用这些技术来构建和分析用于线和几何形状检测的霍夫空间,以及检测由霍夫空间中的峰表示的对象。 通过考虑到变换图像颜色的不确定性和运动流的不确定性,本发明可以进一步用于背景建模。 此外,本发明可以用于通过从原始空间传播不确定性并使用可变带宽平均偏移来检测峰值来在不变空间中分割视频数据。 本发明可用于医疗,监视,监控,汽车,增强现实和检查等各种应用。