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    • 2. 发明授权
    • Method and apparatus for expressing motion object
    • 用于表达运动物体的方法和装置
    • US09589365B2
    • 2017-03-07
    • US14629650
    • 2015-02-24
    • Ying Zhao
    • Ying Zhao
    • G06K9/00G06T7/20G06K9/46
    • G06T7/254G06K9/00348G06K9/4671G06T7/246G06T2207/10021G06T2207/10028G06T2207/30196
    • A method and an apparatus for expressing a motion object are disclosed. The method includes obtaining a stereo image in which the motion object has been captured, the stereo image including a depth image; extracting a key point from the motion object in the stereo image; determining, based on statistical information relating to three-dimensional motion of pixels within a first predetermined region surrounding the key point, a dominant direction of the key point; determining, based on the dominant direction of the key point, motion vectors of pixels within a second predetermined region surrounding the key point to obtain rotation invariant motion vectors; and extracting, based on the determined motion vectors of the pixels within the second predetermined region surrounding the key point, a feature describing the key point. The present invention can extract features of motion object that are irrelevant to a viewing angle of a camera.
    • 公开了一种用于表达运动对象的方法和装置。 该方法包括获取其中已经捕获了运动对象的立体图像,立体图像包括深度图像; 从立体图像中的运动对象提取关键点; 基于关于所述关键点周围的第一预定区域内的像素的三维运动的统计信息,确定所述关键点的主导方向; 基于关键点的主要方向,确定围绕所述关键点的第二预定区域内的像素的运动矢量以获得旋转不变运动矢量; 以及基于所确定的围绕所述关键点的所述第二预定区域内的像素的运动矢量来提取描述所述关键点的特征。 本发明可以提取与摄像机的视角无关的运动对象的特征。
    • 4. 发明授权
    • Moving object detection method and system
    • 移动物体检测方法和系统
    • US09552514B2
    • 2017-01-24
    • US14461558
    • 2014-08-18
    • Ying ZhaoLiyan LiuLingyan Liang
    • Ying ZhaoLiyan LiuLingyan Liang
    • G06K9/00G06T7/00G01S17/50G06T7/20
    • G06K9/00355G01S17/50G06T7/20G06T7/215G06T7/248G06T2207/10028G06T2207/20021G06T2207/30196
    • A moving object detection method includes acquiring two depth image frames including depth information, which are obtained by continuously taking images of a moving object, the two depth image frames including a present depth image frame and at least one past depth image frame; dividing each of the two depth image frames into a plurality of blocks; calculating differences between numbers of pixels positioned in respective different depth areas in each of the plurality of blocks in the present depth image frame, and numbers of pixels positioned in respective different depth areas in each of the corresponding plurality of blocks in each of the at least one past depth image frame, which correspond to the plurality of blocks in the present depth image frame; and detecting a moving block in the present depth image frame based on the calculated difference and constituting the detected moving object.
    • 移动物体检测方法包括获取包括深度信息的两个深度图像帧,所述深度信息通过连续拍摄移动物体的图像,所述两个深度图像帧包括当前深度图像帧和至少一个过去深度图像帧; 将两个深度图像帧中的每一个划分为多个块; 计算位于本深度图像帧中的多个块中的每一个中的相应不同深度区域中的像素的数量之间的差异,以及位于每个至少在每个的相应多个块中的相应不同深度区域中的像素的数量 一个过去的深度图像帧,其对应于当前深度图像帧中的多个块; 并且基于所计算的差异检测当前深度图像帧中的移动块,并构成检测到的移动对象。
    • 6. 发明授权
    • Multiple domain anomaly detection system and method using fusion rule and visualization
    • 多域异常检测系统和方法使用融合规则和可视化
    • US09323837B2
    • 2016-04-26
    • US13204713
    • 2011-08-07
    • Ying ZhaoCharles C. ZhouChetan Kotak
    • Ying ZhaoCharles C. ZhouChetan Kotak
    • G06F17/30
    • G06F17/30702
    • The present invention discloses various embodiments of multiple domain anomaly detection systems and methods. In one embodiment of the invention, a multiple domain anomaly detection system uses a generic learning procedure per domain to create a “normal data profile” for each domain based on observation of data per domain, wherein the normal data profile for each domain can be used to determine and compute domain-specific anomaly data per domain. Then, domain-specific anomaly data per domain can be analyzed together in a cross-domain fusion data analysis using one or more fusion rules. The fusion rules may involve comparison of domain-specific anomaly data from multiple domains to derive a multiple-domain anomaly score meter for a particular cross-domain analysis task. The multiple domain anomaly detection system and its related method may also utilize domain-specific anomaly indicators of each domain to derive a cross-domain anomaly indicator using the fusion rules.
    • 本发明公开了多域异常检测系统和方法的各种实施例。 在本发明的一个实施例中,多域异常检测系统使用每个域的通用学习过程,基于每个域的数据观察为每个域创建“正常数据简档”,其中可以使用每个域的正常数据简档 确定和计算每个域的特定于异常的数据。 然后,可以在使用一个或多个融合规则的跨域融合数据分析中一起分析每个域的域特异性异常数据。 融合规则可能涉及到来自多个域的域特异性异常数据的比较,以导出用于特定跨域分析任务的多域异常得分计。 多域异常检测系统及其相关方法还可以利用每个域的域特异性异常指标,使用融合规则导出跨域异常指标。
    • 10. 发明申请
    • Apparatuses and Methods for Managing Liquid Volume in a Container
    • 用于管理容器中液体体积的装置和方法
    • US20120097567A1
    • 2012-04-26
    • US13380913
    • 2010-07-06
    • Ying ZhaoJun She
    • Ying ZhaoJun She
    • A47G23/16G01F23/20G01F23/284G01F23/00
    • A47G23/16G01F23/0076G01F23/18G01F23/2927
    • The present invention proposes an apparatus (100) and method for managing the liquid volume in a container. The apparatus (100) comprises a detector (101) for detecting liquid volume changes in said container during a first preset period, a first determiner (102) for determining whether said changes are lower than said first preset threshold value and a presenter (103) for presenting the first prompt information in the case of said changes being lower than said preset threshold value. The apparatus and method provided in the present invention can prompt people to drink drinkable liquids such as water in time, enable people to control their drinking intake and are beneficial to their health.
    • 本发明提出了一种用于管理容器中的液体体积的装置(100)和方法。 装置(100)包括用于在第一预设时段期间检测所述容器中的液体体积变化的检测器(101),用于确定所述变化是否低于所述第一预设阈值的第一确定器(102) 用于在所述改变的情况下低于所述预设阈值时呈现第一提示信息。 本发明提供的装置和方法可以使人们及时饮用诸如水等可饮用液体,使人们能够控制他们的饮用量并有益于他们的健康。