公开(公告)号：US08977347B2

公开(公告)日：2015-03-10

申请号：US13532057

申请日：2012-06-25

Applicant: Lalit Keshav Mestha ,  Survi Kyal ,  Beilei Xu ,  Himanshu J. Madhu

Inventor： Lalit Keshav Mestha ,  Survi Kyal ,  Beilei Xu ,  Himanshu J. Madhu

IPC: A61B5/024

CPC classification number: A61B5/02405 ,  A61B5/0004 ,  A61B5/02416 ,  A61B5/7235 ,  A61B2576/00

Abstract: What is disclosed is a video-based system and method for estimating heart rate variability from time-series signals generated from video images captured of a subject of interest being monitored for cardiac function. In a manner more fully disclosed herein, low frequency and high frequency components are extracted from a time-series signal obtained by processing a video of the subject being monitored. A ratio of the low and high frequency of the integrated power spectrum within these components is computed. Analysis of the dynamics of this ratio over time is used to estimate heart rate variability. The teachings hereof can be used in a continuous monitoring mode with a relatively high degree of measurement accuracy and find their uses in a variety of diverse applications such as, for instance, emergency rooms, cardiac intensive care units, neonatal intensive care units, and various telemedicine applications.

Abstract translation: 所公开的是一种基于视频的系统和方法，用于从由心脏功能监测的感兴趣对象的视频图像产生的时间序列信号估计心率变异性。 以这里更完全公开的方式，从通过处理被监视对象的视频获得的时间序列信号中提取低频和高频分量。 计算这些分量内的综合功率谱的低频和高频比。 分析这个比率随时间的动力学被用于估计心率变异性。 其教导可以以相对较高的测量精度的连续监测模式使用，并且可以在各种各样的应用中使用，例如急诊室，心脏重症监护病房，新生儿重症监护病房和各种各样的 远程医疗应用。

公开(公告)号：US08922829B2

公开(公告)日：2014-12-30

申请号：US13253660

申请日：2011-10-05

Applicant: Lina Fu ,  Alvaro Enrique Gil ,  Lalit Keshav Mestha

Inventor： Lina Fu ,  Alvaro Enrique Gil ,  Lalit Keshav Mestha

IPC: G06F15/00 ,  G03F3/08 ,  H04N1/60 ,  H04N1/54

CPC classification number: H04N1/60 ,  H04N1/54

Abstract: What is disclosed is a method for determining a color solution which achieves color objectives for a color marking device involves performing the following. In one embodiment, N objectives of interest are identified for a color marking device and a N-dimensional Pareto Front is constructed which comprises a collection of color solutions which accommodates those objectives. The Pareto Front is constructed using an optimization process based upon printer models of the objectives. Color solutions can be at least one color recipe, or a combination of color recipes and process actuators. A target point is selected in an N-dimensional objective space based upon at least one user-selected preference. The target point is then mapped to a point on the Pareto Front. The mapping identifies one of the color solutions which, in turn, is used to generate a spot color for the device. The generated spot color achieves the user-selected preference.

Abstract translation: 所公开的是确定实现彩色标记装置的色彩目标的色彩解决方案的方法，包括执行以下操作。 在一个实施例中，为彩色标记装置识别出感兴趣的N个目标，并且构造了包括适应这些目标的颜色解决方案集合的N维帕累托前端。 帕累托前面采用基于目标打印机模型的优化过程构建。 颜色解决方案可以是至少一种颜色配方，或颜色配方和过程执行器的组合。 基于至少一个用户选择的偏好在N维目标空间中选择目标点。 目标点然后映射到帕累托阵线上的一个点。 该映射标识了颜色解决方案之一，而这些颜色解决方案又被用于生成设备的专色。 生成的专色实现了用户选择的偏好。

公开(公告)号：US08855384B2

公开(公告)日：2014-10-07

申请号：US13528307

申请日：2012-06-20

Applicant: Survi Kyal ,  Lalit Keshav Mestha ,  Beilei Xu

Inventor： Survi Kyal ,  Lalit Keshav Mestha ,  Beilei Xu

IPC: G06K9/00

CPC classification number: G06K9/6217 ,  A61B5/024 ,  G06K9/0057 ,  G06K2209/05

Abstract: What is disclosed is a computationally efficient system and method for estimating a subject's cardiac pulse rate from multi-channel source video data. In one embodiment, A time-series signal is received. A sliding window is used to define overlapping segments of the time-series signal. Signal segments are processed by performing constrained independent component analysis (cICA) until convergence to obtain an estimated source signal. A frequency of each estimated source signal obtained by the cICA at convergence is determined to be the subject's estimated cardiac pulse rate for each signal segment. A seed reference signal used by the cICA is repeatedly updated. A sliding window is shifted to define a next time-series signal segment for processing. The method repeats for each signal segment until a termination criteria is met. In such a manner, the subject's cardiac pulse rate is estimated from a video of the subject on a continuous basis.

Abstract translation: 所公开的是用于从多信道源视频数据估计被摄体的心脏脉搏率的计算有效的系统和方法。 在一个实施例中，接收时间序列信号。 滑动窗口用于定义时间序列信号的重叠段。 通过执行受约束的独立分量分析（cICA）直到收敛以获得估计的源信号来处理信号段。 将通过cICA在会聚处获得的每个估计的源信号的频率确定为每个信号段的被摄体估计的心脏脉搏率。 cICA使用的种子参考信号被重复更新。 移动滑动窗口以定义下一个时间序列信号段进行处理。 该方法对于每个信号段重复，直到满足终止标准。 以这种方式，从受试者的视频连续地估计受试者的心脏脉搏率。

公开(公告)号：US08818030B2

公开(公告)日：2014-08-26

申请号：US13324368

申请日：2011-12-13

Applicant: Yao Rong Wang ,  Lalit Keshav Mestha

Inventor： Yao Rong Wang ,  Lalit Keshav Mestha

IPC: G06K9/00

CPC classification number: G06K9/2018 ,  G06K9/6857 ,  G06K9/72 ,  G06K2209/09

Abstract: A system and method for post-processing a multi-spectral image which has already been processed for pixel classification. A binary image is received which contains pixels that have been classified using a pixel classification method. Each pixel in the image has an associated intensity value and has a pixel value of 1 or 0 depending on whether the pixel has been classified as a material of interest or not. The image is divided into a plurality of blocks of pixels. On a block by block basis, pixel values in a block are changed according to a threshold-based filtering criteria such that pixels in the same block all have the same binary value. Once all the blocks have been processed, contiguous pixels having the same binary value are grouped to form separate objects. In such a manner, pixel classification errors in the post-processed binary image can be reduced.

Abstract translation: 一种用于后处理已经被处理用于像素分类的多光谱图像的系统和方法。 接收包含使用像素分类方法分类的像素的二进制图像。 图像中的每个像素具有相关联的强度值，并且具有像素值为1或0的取决于像素是否被分类为感兴趣的材料。 该图像被分成多个像素块。 在逐块的基础上，根据基于阈值的滤波准则改变块中的像素值，使得相同块中的像素都具有相同的二进制值。 一旦所有块被处理，具有相同二进制值的连续像素被分组以形成分离的对象。 以这种方式，可以减少后处理二进制图像中的像素分类误差。

公开(公告)号：US08773446B2

公开(公告)日：2014-07-08

申请号：US13023798

申请日：2011-02-09

Applicant: Shanmuga-Nathan Gnanasambandam ,  Lalit Keshav Mestha

Inventor： Shanmuga-Nathan Gnanasambandam ,  Lalit Keshav Mestha

IPC: G06F15/80

CPC classification number: G06T1/20

Abstract: What is disclosed is a novel system and method for parallel processing of intra-image data in a distributed computing environment. A generic architecture and method are presented which collectively facilitate image segmentation and block sorting and merging operations with a certain level of synchronization in a parallel image processing environment which has been traditionally difficult to parallelize. The present system and method enables pixel-level processing at higher speeds thus making it a viable service for a print/copy job document reproduction environment. The teachings hereof have been simulated on a cloud-based computing environment with a demonstrable increase of ≈2× with nominal 8-way parallelism, and an increase of ≈20×-100× on a graphics processor. In addition to production and office scenarios where intra-image processing are likely to be performed, these teachings are applicable to other domains where high-speed video and audio processing are desirable.

Abstract translation: 公开的是用于在分布式计算环境中并行处理图像内数据的新型系统和方法。 提出了一种通常的架构和方法，其在传统上难以并行化的并行图像处理环境中共同促进图像分割和块排序和合并操作与一定水平的同步。 本系统和方法能够以更高的速度进行像素级处理，从而使其成为打印/复印作业文档再现环境的可行服务。 本文的教导已经在基于云计算环境下进行了模拟，具有标称8路并行性的≈2×的可见增加，并且在图形处理器上增加了≈20×-100×。 除了可能执行图像内处理的生产和办公场景之外，这些教导也适用于需要高速视频和音频处理的其他领域。

公开(公告)号：US20130324874A1

公开(公告)日：2013-12-05

申请号：US13486715

申请日：2012-06-01

Applicant: Edgar A. BERNAL ,  Lalit Keshav MESTHA ,  Beilei XU

Inventor： Edgar A. BERNAL ,  Lalit Keshav MESTHA ,  Beilei XU

IPC: A61B5/113

CPC classification number: A61B5/1077 ,  A61B5/0064 ,  A61B5/091 ,  A61B5/1128 ,  A61B5/1135 ,  G01B11/2527

Abstract: What is disclosed is a system and method for estimating minute ventilation by analyzing distortions in reflections of structured illumination patterns captured in a video of a thoracic region of a subject of interest being monitored for respiratory function. Measurement readings can be acquired in a few seconds under a diverse set of lighting conditions and provide a non-contact approach to patient respiratory function that is particularly useful for infant care in an intensive care unit (ICU), sleep studies, and can aid in the early detection of sudden deterioration of physiological conditions due to detectable changes in patient chest volume. The systems and methods disclosed herein provide an effective tool for minute ventilation estimation and respiratory function study and analysis in a non-contact remote sensing environment.

Abstract translation: 所公开的是通过分析被监测用于呼吸功能的感兴趣受试者的胸部区域的视频中捕获的结构化照明模式的反射中的失真来估计每分钟通气的系统和方法。 测量读数可以在多种照明条件下几秒钟内获得，并提供对患者呼吸功能的非接触式方法，对重症监护室（ICU），睡眠研究中的婴儿护理特别有用，并且可以帮助 由于患者胸部体积的可检测变化，早期检测到生理状况突然恶化。 本文公开的系统和方法为非接触式遥感环境中的分钟通气估计和呼吸功能研究和分析提供了有效的工具。

公开(公告)号：US20130235178A1

公开(公告)日：2013-09-12

申请号：US13416436

申请日：2012-03-09

Applicant: Yao Rong WANG ,  Lalit Keshav MESTHA ,  Beilei XU ,  Raja BALA ,  Graham PENNINGTON

Inventor： Yao Rong WANG ,  Lalit Keshav MESTHA ,  Beilei XU ,  Raja BALA ,  Graham PENNINGTON

IPC: H04N5/33 ,  G06K9/62

CPC classification number: G06K9/00255 ,  G06K9/00838 ,  G06K9/2018 ,  H04N5/33

Abstract: What is disclosed is a system and method for selecting the optimal wavelength ban combination for a multi-band infrared camera system which is optimized for skin detection. An objective function is constructed specifically for this application from classified performance and the algorithm generates wavelengths by maximizing the objective function. A specific wavelength band combination is selected which maximizes the objective function. Also disclosed is a 3-band and 4-band camera system with filters each having a transmittance of one of a combination of wavelength bands optimized to detect skin in the infrared band. The camera systems disclosed herein find their intended uses in a wide array of vehicle occupancy detection systems and applications. Various embodiments are disclosed.

Abstract translation: 公开的是用于为针对皮肤检测而优化的多频带红外相机系统选择最佳波长禁止组合的系统和方法。 目标函数由分类性能专门为此应用构建，算法通过最大化目标函数生成波长。 选择使目标函数最大化的特定波段组合。 还公开了一种具有滤波器的三频带和四频带相机系统，每个滤波器具有被优化以检测红外频带中的皮肤的波长带的组合之一的透射率。 本文公开的相机系统在各种车辆占用检测系统和应用中找到其预期用途。 公开了各种实施例。

公开(公告)号：US20130148904A1

公开(公告)日：2013-06-13

申请号：US13324433

申请日：2011-12-13

Applicant: Yao Rong WANG ,  Lalit Keshav MESTHA

Inventor： Yao Rong WANG ,  Lalit Keshav MESTHA

IPC: G06K9/62

CPC classification number: G06K9/72 ,  G06K9/4652

Abstract: What is disclosed is a system and method for post-processing a multi-spectral image which has already been processed for pixel classification. A binary image is received which contains pixels that have been classified using a pixel classification method. Each pixel in the image has an associated intensity value and has a pixel value of 1 or 0 depending on whether the pixel has been classified as a material of interest or not. A block of size m×n is defined. Pixel values in a block are changed according to a threshold-based filtering criteria such that pixels in the same block all have the same binary value. The block is then shifted by k pixels and pixel processing repeats until all pixels have been processed. Once all blocks have been processed, contiguous pixels having the same binary value are grouped to form objects. In such a manner, pixel classification errors are reduced.

Abstract translation: 所公开的是用于后处理已经被处理用于像素分类的多光谱图像的系统和方法。 接收包含使用像素分类方法分类的像素的二进制图像。 图像中的每个像素具有相关联的强度值，并且具有像素值为1或0的取决于像素是否被分类为感兴趣的材料。 定义一个大小为m×n的块。 块中的像素值根据基于阈值的滤波准则而改变，使得相同块中的像素都具有相同的二进制值。 然后将块移动k个像素，并重复像素处理直到所有像素都被处理。 一旦所有块都被处理，具有相同二进制值的连续像素被分组以形成对象。 以这种方式，减少像素分类误差。

公开(公告)号：US20130141574A1

公开(公告)日：2013-06-06

申请号：US13312414

申请日：2011-12-06

Applicant: Edul N. DALAL ,  Peter PAUL ,  Lalit Keshav MESTHA ,  Abu Saeed ISLAM

Inventor： Edul N. DALAL ,  Peter PAUL ,  Lalit Keshav MESTHA ,  Abu Saeed ISLAM

IPC: H04N5/33

CPC classification number: G06K9/00362 ,  G06K9/2018 ,  H04N5/33

Abstract: What is disclosed is a method for vehicle occupancy detection using a single band infrared imaging system. First, an infrared image of a vehicle intended to be processed for human occupancy detection is captured using a single band infrared camera set to a predefined wavelength band. A candidate sub-image is identified within the captured image. A cumulative histogram is formed using the reflectance values of each pixel in the candidate region. A threshold reflectance value is then determined from the cumulative histogram using a pre-defined cumulative occurrence fraction value which corresponds to a value equivalent to an average sized human face. Embodiments for setting the threshold reflectance value are disclosed. Thereafter, human occupants can be distinguished in the image from the vehicle's interior by comparing pixel reflectances in the sub-image against the threshold reflectance value.

Abstract translation: 所公开的是使用单频带红外成像系统的车辆占用检测方法。 首先，使用设定为预定波长带的单频带红外线摄像机来捕捉旨在进行人身携带检测的车辆的红外图像。 在拍摄图像内识别候选子图像。 使用候选区域中的每个像素的反射率值形成累积直方图。 然后使用对应于等于平均大小的人脸的值的预定义累积出现分数值，从累积直方图确定阈值反射率值。 公开了设定阈值反射率值的实施例。 此后，通过将子图像中的像素反射率与阈值反射率值进行比较，可以将图像与车辆内部区分开。

公开(公告)号：US08441680B2

公开(公告)日：2013-05-14

申请号：US12507515

申请日：2009-07-22

Applicant: Yao Rong Wang ,  Lalit Keshav Mestha

Inventor： Yao Rong Wang ,  Lalit Keshav Mestha

IPC: H04N1/60

CPC classification number: H04N1/407

Abstract: A method for calibrating an image printing system that includes a plurality of parallel printers, where each of the printers has a minimum luminance value. The method includes determining a minimum luminance value profile for the plurality of printers in the image printing system based on the minimum luminance values of each of the printers in the image printing system, determining a black point compensation function based on the determined minimum luminance value profile, adjusting luminance values for input image data using the determined black point compensation function, and rendering, with the parallel printers, images on substrates based on the input image data with adjusted luminance levels.

Abstract translation: 一种用于校准包括多个平行打印机的图像打印系统的方法，其中每个打印机具有最小的亮度值。 该方法包括基于图像打印系统中的每个打印机的最小亮度值确定图像打印系统中的多个打印机的最小亮度值分布，基于所确定的最小亮度值分布来确定黑点补偿功能 使用确定的黑点补偿功能调整输入图像数据的亮度值，并且使用并行打印机，基于具有调整的亮度水平的输入图像数据来渲染基板上的图像。