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    • 42. 发明授权
    • Processing a video for vascular pattern detection and cardiac function analysis
    • 处理血管图案检测和心脏功能分析的视频
    • US08897522B2
    • 2014-11-25
    • US13483992
    • 2012-05-30
    • Lalit Keshav MesthaBeilei XuEdgar A. Bernal
    • Lalit Keshav MesthaBeilei XuEdgar A. Bernal
    • G06K9/00A61B5/02
    • G06T7/0016A61B5/0077A61B5/02A61B5/021A61B5/02416A61B5/029A61B5/489G06T2207/10024G06T2207/10048G06T2207/30076G06T2207/30101
    • What is disclosed is a non-contact system and method for determining cardiac function parameters from a vascular pattern identified from RGB and IR video signals captured simultaneously of a region of exposed skin of a subject of interest. In one embodiment, a video of a region of exposed skin is captured using a video camera that captures color values for pixels over visible channels and an IR camera that measures pixel intensity values in wavelength ranges of interest. Pixel intensity values are processed to generate a vascular binary mask that indicates pixel locations corresponding to the vascular pathways. The IR images are registered with corresponding data from the camera's visible channels such that pixels that correspond to the vascular pattern can be isolated in each frame of the video of visible color data. Once processed, pixels associated with the isolated vascular patterns are analyzed to determine desired cardiac function parameters.
    • 公开的是一种非接触式系统和方法,用于根据由目标受试者的暴露皮肤区域同时捕获的RGB和IR视频信号识别的血管图案来确定心脏功能参数。 在一个实施例中,使用捕获可见信道上的像素的颜色值的摄像机和测量感兴趣的波长范围内的像素强度值的IR照相机捕获暴露皮肤区域的视频。 处理像素强度值以产生指示对应于血管通路的像素位置的血管二进制掩模。 红外图像与来自相机的可视通道的相应数据一起登记,使得与血管图案相对应的像素可以在可见颜色数据的视频的每个帧中被隔离。 一旦处理,分析与分离的血管图案相关联的像素以确定期望的心脏功能参数。
    • 43. 发明授权
    • Monitoring respiration with a thermal imaging system
    • 用热成像系统监测呼吸
    • US08790269B2
    • 2014-07-29
    • US13103406
    • 2011-05-09
    • Beilei XuLalit Keshav MesthaGraham Pennington
    • Beilei XuLalit Keshav MesthaGraham Pennington
    • A61B5/08
    • A61B5/015A61B5/0008A61B5/08A61B2503/04A61B2576/00
    • What is disclosed is a system and method for monitoring respiration of a subject or subject of interest using a thermal imaging system with single or multiple spectral bands set to a temperature range of a facial region of that person. Temperatures of extremities of the head and face are used to locate facial features in the captured thermal images, i.e., nose and mouth, which are associated with respiration. The RGB signals obtained from the camera are plotted to obtain a respiration pattern. From the respiration pattern, a rate of respiration is obtained. The system includes display and communication interfaces wherein alerts can be activated if the respiration rate falls outside a level of acceptability. The teachings hereof find their uses in an array of devices such as, for example, devices which monitor the respiration of an infant to signal the onset of a respiratory problem or failure.
    • 公开的是使用具有设置到该人脸部区域的温度范围的单个或多个光谱带的热成像系统来监测受试者或感兴趣受试者的呼吸的系统和方法。 使用头部和脸部四肢的温度来定位与呼吸相关联的捕获的热图像即鼻子和嘴部中的面部特征。 绘制从照相机获得的RGB信号以获得呼吸模式。 从呼吸模式,获得呼吸率。 该系统包括显示和通信接口,其中如果呼吸速率落在可接受程度之外,则可以激活警报。 本发明的教导将其用于一系列装置中,例如监测婴儿的呼吸以指示呼吸问题或失败的发作的装置。
    • 44. 发明授权
    • Determining cardiac arrhythmia from a video of a subject being monitored for cardiac function
    • 从心脏功能监测的受试者的视频确定心律失常
    • US08768438B2
    • 2014-07-01
    • US13532128
    • 2012-06-25
    • Lalit Keshav MesthaBeilei XuPaul R. Austin
    • Lalit Keshav MesthaBeilei XuPaul R. Austin
    • A61B6/00
    • A61B5/02416A61B5/0044A61B5/0452
    • What is disclosed is a system and method for processing a time-series signal generated by video images captured of a subject of interest in a non-contact, remote sensing environment such that the existence of a cardiac arrhythmia can be determined for that subject. In one embodiment, a time-series signal generated is received. The time-series signal was generated from video images captured of a region of exposed skin where photoplethysmographic (PPG) signals of a subject of interest can be registered. Signal separation is performed on the time-series signal to extract a photoplethysmographic signal for the subject. Peak-to-peak pulse points are detected in the PPG signal using an adaptive threshold technique with successive thresholds being based on variations detected in previous magnitudes of the pulse peaks. The pulse points are then analyzed to obtain peak-to-peak pulse dynamics. The existence of cardiac arrhythmias is determined for the subject based on the pulse dynamics.
    • 所公开的是用于处理由非接触式遥感环境中感兴趣的对象捕获的视频图像产生的时间序列信号的系统和方法,从而可以确定该对象的心律失常的存在。 在一个实施例中,接收所产生的时间序列信号。 时间序列信号是从拍摄感兴趣的受试者的光学体积描记(PPG)信号可以被登记的暴露皮肤区域的视频图像产生的。 对时间序列信号执行信号分离,以提取对象的光电体积描记信号。 使用自适应阈值技术在PPG信号中检测峰峰值脉冲点,其中连续阈值基于在脉冲峰值的先前幅度中检测到的变化。 然后分析脉冲点以获得峰 - 峰脉冲动态。 基于脉搏动力学确定对象的心律失常的存在。
    • 45. 发明授权
    • Front seat vehicle occupancy detection via seat pattern recognition
    • 通过座椅模式识别进行前排座椅车辆占用检测
    • US08611608B2
    • 2013-12-17
    • US13215401
    • 2011-08-23
    • Zhigang FanAbu Saeed IslamPeter PaulBeilei XuLalit Keshav Mestha
    • Zhigang FanAbu Saeed IslamPeter PaulBeilei XuLalit Keshav Mestha
    • G06K9/00
    • G06K9/00234G06K9/00838G06K9/2018
    • What is disclosed is a system and method for determining whether a front seat in a motor vehicle is occupied based on seat pattern recognition. The present invention takes advantage of the observation that an unoccupied seat of a motor vehicle exhibits features which are distinguishable from an occupied seat. An unoccupied motor vehicle seat typically features long contiguous horizontal line segments and curve segments, and substantially uniform areas encompassed by these segments which are not present in an occupied seat. The present method provides a long horizontal edge test which uses location information within a defined window of the image, edge linking, softness of the edge, number of lines, line/curve fitting, and other techniques to locate horizontal edges in the image which define a seat, and a uniformity step which determines whether the area bounded by the horizontal edges is relatively uniform indicating an unoccupied seat.
    • 公开的是基于座椅图案识别来确定机动车辆中的前排座椅是否被占用的系统和方法。 本发明利用了这样的观察结果:机动车辆的空闲座椅表现出与被占用座椅不同的特征。 未占用的机动车辆座椅通常具有长的连续水平线段和曲线段,以及由这些段所包围的基本均匀的区域,其不存在于被占用的座椅中。 本方法提供了一种长的水平边缘测试,它使用图像的定义窗口内的位置信息,边缘链接,边缘柔软度,线数,线/曲线拟合以及其他技术来定位图像中的水平边缘 一个座位和一个均匀性步骤,确定由水平边缘限定的区域是否相对均匀,表示空闲的座位。
    • 46. 发明授权
    • Subcutaneous vein pattern detection via multi-spectral IR imaging in an identity verification system
    • 通过身份验证系统中的多光谱红外成像进行皮下静脉图案检测
    • US08509495B2
    • 2013-08-13
    • US13087850
    • 2011-04-15
    • Beilei XuLalit Keshav Mestha
    • Beilei XuLalit Keshav Mestha
    • G06K9/00
    • G06K9/00013G06K9/2036G06K2009/00932
    • What is disclosed is a novel system and method for identifying an individual in an IR image involves the following. Intensity values are collected at N wavelengths for each pixel in an IR video-based image. The intensity values are collected using an IR imaging system having an IR detector and an IR Illuminator. The intensity values are then used to identify pixels of human skin in the IR image. If human skin is identified in the IR image then, the human hand is identified in the IR image from the human skin to distinguish the hand from the background. Vein patterns in the hand are then located and extracted. A reference vein pattern is retrieved from a database of known vein patterns for individuals, and a comparison is made to determine a match. If a match is determined, then the individual in the captured IR image can be identified.
    • 所公开的是用于识别IR图像中的个体的新颖系统和方法涉及以下。 在基于IR视频的图像中针对每个像素在N个波长处收集强度值。 使用具有IR检测器和IR照明器的IR成像系统收集强度值。 然后强度值用于识别IR图像中人体皮肤的像素。 如果在IR图像中识别出人类皮肤,则人类的手在来自人体皮肤的IR图像中被识别,以将手与背景区分开。 然后定位和提取手中的静脉图案。 从个人的已知静脉图案的数据库检索参考静脉图案,并进行比较以确定匹配。 如果确定匹配,则可以识别捕获的IR图像中的个体。
    • 50. 发明申请
    • METHOD FOR CLASSIFYING A PIXEL OF A HYPERSPECTRAL IMAGE IN A REMOTE SENSING APPLICATION
    • 远程感应应用中超分辨率图像像素分类方法
    • US20120200682A1
    • 2012-08-09
    • US13023310
    • 2011-02-08
    • Lalit Keshav MesthaBeilei XuPeter Paul
    • Lalit Keshav MesthaBeilei XuPeter Paul
    • H04N7/18G06K9/62
    • G06K9/0063G06K2009/00644
    • What is disclosed is a novel system and method for simultaneous spectral decomposition suitable for image object identification and categorization for scenes and objects under analysis. The present system captures different spectral planes simultaneously using a Fabry-Perot multi-filter grid each tuned to a specific wavelength. A method for classifying pixels in the captured image is provided. The present system and method finds its uses in a wide array of applications such as, for example, occupancy detection in a transportation management system and in medical imaging and diagnosis for healthcare management. The teachings hereof further find their uses in other applications where there is a need to capture a two dimensional view of a scene and decompose the scene into its spectral bands such that objects in the image can be appropriately identified.
    • 所公开的是一种用于同时频谱分解的新型系统和方法,适用于分析场景和物体的图像对象识别和分类。 本系统使用每个调谐到特定波长的法布里 - 珀罗多滤波器网格同时捕获不同的频谱平面。 提供了一种用于对拍摄图像中的像素进行分类的方法。 本系统和方法在广泛的应用中发现其用途,例如在运输管理系统中的占用检测以及用于医疗管理的医学成像和诊​​断。 其中的教导进一步发现它们在其他应用中的用途,其中需要捕获场景的二维视图并将场景分解为其光谱带,使得可以适当地识别图像中的对象。