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    • 4. 发明授权
    • Image combining
    • 图像组合
    • US08942411B2
    • 2015-01-27
    • US12864647
    • 2008-06-30
    • Yesna Oyku YildizDouglas Q. Abraham
    • Yesna Oyku YildizDouglas Q. Abraham
    • G06K9/00G06T7/00G06T11/00G06T11/60
    • G06T11/60G06T7/70G06T11/005G06T2207/10081G06T2207/30112G06T2207/30232
    • One or more techniques and/or systems for combining images of objects are disclosed where an image of a first object is to be inserted into an image of a second object in such a manner as to make the insertion substantially undetectable by a human observer of the combined image. An object generator generates a substantially artifact free image of a first object. An object locator orients the first object image according to a desired insertion point in a second object image. A forward projector converts the first object image into projection space data of the first object, and a combiner combines the first object projection space data with the second object projection space data. The combined projection space data is converted to image space data by a reconstructor, and the resulting combined image space data can be displayed on a monitor for human observation.
    • 公开了用于组合对象的图像的一个或多个技术和/或系统,其中第一对象的图像将被插入到第二对象的图像中,使得使得插入件的人的观察者基本上不可检测到 组合图像。 对象生成器生成第一对象的基本上无伪影的图像。 对象定位器根据第二对象图像中的期望的插入点来定向第一对象图像。 前投影机将第一物体图像转换为第一物体的投影空间数据,并且组合器将第一对象投影空间数据与第二对象投影空间数据组合。 组合的投影空间数据由重构器转换成图像空间数据,并且所得到的组合图像空间数据可以显示在监视器上用于人类观察。
    • 6. 发明授权
    • Detection of abandoned and removed objects in a video stream
    • 在视频流中检测被遗弃和删除的对象
    • US08107678B2
    • 2012-01-31
    • US12053827
    • 2008-03-24
    • Rogerio Schmidt FerisArun HampapurZuoxuan Max LuYing-li Tian
    • Rogerio Schmidt FerisArun HampapurZuoxuan Max LuYing-li Tian
    • G06K9/00
    • G06K9/00771G06K9/44G06T7/254G06T2207/10016G06T2207/30112
    • A method for processing a time-ordered sequence of video frames. The method is implemented by execution of program code on a processor of a computer system. Each frame includes a two-dimensional array of pixels and a frame-dependent color intensity at each pixel. A current frame and at least one frame occurring prior to the current frame in the sequence are analyzed via a background subtraction on the at least one frame to determine a background image and a static region mask associated with a static region. The background subtraction determines an existence of a static object relating to the static region. A status of the static object is determined, the status being either that the static object is an abandoned object or that the static object is a removed object. The determined status is stored in a data storage medium of the computer system.
    • 一种用于处理视频帧的时间有序序列的方法。 该方法通过在计算机系统的处理器上执行程序代码来实现。 每个帧包括像素的二维阵列和每个像素处的依赖于帧的颜色强度。 通过在至少一个帧上的背景减法来分析在序列中的当前帧之前出现的当前帧和至少一个帧,以确定与静态区域相关联的背景图像和静态区域掩模。 背景减法确定与静态区域相关的静态对象的存在。 确定静态对象的状态,状态是静态对象是被放弃的对象,或者静态对象是被删除的对象。 所确定的状态存储在计算机系统的数据存储介质中。
    • 8. 发明申请
    • AUTOMATED IMAGE SEPARATION METHOD
    • 自动图像分离方法
    • US20100215249A1
    • 2010-08-26
    • US12390358
    • 2009-02-20
    • Geremy HeitzGal Chechik
    • Geremy HeitzGal Chechik
    • G06K9/00
    • G06T7/593G06T2207/10116G06T2207/30112
    • A method of decomposing a set of scans of different views of overlapping objects into constituent objects is presented. The method involves an initialization process whereby keypoints in two views are determined and matched, disparity between keypoint pairs are computed, and the keypoints are grouped into clusters based on their disparities. Following the initialization process is an iterative optimization process whereby a cost function is calculated and minimized assuming a fixed composition matrix and re-solved assuming a fixed attenuation coefficient. Then, the composition matrix and the attenuation coefficient are updated simultaneously, and the solving, the re-solving, and the updating steps are repeated until there is no significant improvement in the result.
    • 提出了将重叠对象的不同视图的一组扫描分解为组成对象的方法。 该方法涉及一个初始化过程,其中确定和匹配两个视图中的关键点,并且计算关键点对之间的差异,并且根据其差异将关键点分组成簇。 在初始化过程之后是迭代优化过程,其中假设固定的组合矩阵并且假设固定衰减系数重新求解,计算和最小化成本函数。 然后,组合矩阵和衰减系数同时更新,重复解决,重新解决和更新步骤,直到结果没有显着改善。
    • 9. 发明申请
    • HISTOGRAM-BASED COMPOUND OBJECT SEPARATION
    • 基于组织的复合物体分离
    • US20100183209A1
    • 2010-07-22
    • US12357035
    • 2009-01-21
    • Andrew LitvinSergey SimanovskyRam Naidu
    • Andrew LitvinSergey SimanovskyRam Naidu
    • G06K9/00G06K9/34
    • G06T7/0004G06T7/11G06T7/194G06T2207/10081G06T2207/30112
    • Certain imaging systems, such as automatic explosives detection systems, employ techniques that utilize image processing, feature extraction and decision making steps to detect threats in images. Such techniques use segmentation as a first algorithmic step, which extracts data representing objects from image data. Some of the extracted objects are actually composed of multiple distinct physical objects. For these compound objects discrimination becomes difficult because computed object properties are less specific than properties computed for a single physical object. A technique is described which includes splitting such compound objects by separating the data of each component from the rest of the data and using properties of density histograms based on voxel distributions in both density and spatial domains.
    • 某些成像系统,例如自动爆炸物检测系统,采用利用图像处理,特征提取和决策步骤来检测图像中的威胁的技术。 这样的技术使用分割作为第一算法步骤,其从图像数据中提取表示对象的数据。 一些提取的对象实际上由多个不同的物理对象组成。 对于这些复合对象,鉴别变得困难,因为计算的对象属性比为单个物理对象计算的属性的特性要小。 描述了一种技术,其包括通过将每个组件的数据与其余数据分离并使用基于密度和空间域中的体素分布的密度直方图的属性来拆分这样的复合对象。