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    • 2. 发明申请
    • MINUTE VENTILATION ESTIMATION BASED ON CHEST VOLUME
    • 基于最大体积的分钟通风估算
    • US20130324874A1
    • 2013-12-05
    • US13486715
    • 2012-06-01
    • Edgar A. BERNALLalit Keshav MESTHABeilei XU
    • Edgar A. BERNALLalit Keshav MESTHABeilei XU
    • A61B5/113
    • A61B5/1077A61B5/0064A61B5/091A61B5/1128A61B5/1135G01B11/2527
    • 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.
    • 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。
    • 4. 发明申请
    • POST-PROCESSING A MULTI-SPECTRAL IMAGE FOR ENHANCED OBJECT IDENTIFICATION
    • 后处理用于增强对象识别的多光谱图像
    • US20130148904A1
    • 2013-06-13
    • US13324433
    • 2011-12-13
    • Yao Rong WANGLalit Keshav MESTHA
    • Yao Rong WANGLalit Keshav MESTHA
    • G06K9/62
    • G06K9/72G06K9/4652
    • 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.
    • 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。
    • 5. 发明申请
    • VEHICLE OCCUPANCY DETECTION VIA SINGLE BAND INFRARED IMAGING
    • 车辆通过单带红外成像检测车辆检测
    • US20130141574A1
    • 2013-06-06
    • US13312414
    • 2011-12-06
    • Edul N. DALALPeter PAULLalit Keshav MESTHAAbu Saeed ISLAM
    • Edul N. DALALPeter PAULLalit Keshav MESTHAAbu Saeed ISLAM
    • H04N5/33
    • G06K9/00362G06K9/2018H04N5/33
    • 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.
    • 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。
    • 7. 发明申请
    • DETERMINING A NUMBER OF OBJECTS IN AN IR IMAGE
    • 确定IR图像中的一些对象
    • US20120262577A1
    • 2012-10-18
    • US13086006
    • 2011-04-13
    • Yao Rong WANGZhigang FANLalit Keshav MESTHA
    • Yao Rong WANGZhigang FANLalit Keshav MESTHA
    • H04N5/33H04N7/18G06K9/00
    • G06K9/00369G06K2009/4657G06T7/11G06T2207/10048G06T2207/30242
    • What is disclosed is a novel system and method for determining the number of objects in an IR image obtained using an IR imaging system. In one embodiment, a total of N intensity values are collected for each pixel in an IR image using a IR imaging system comprising an IR detection device and an IR Illuminator. Intensity values are retrieved from a database which have been estimated for a plurality of known materials, such as skin and hair. A classification is determined for each pixel in the IR image using either a best fitting method of a reflectance, or a correlation method. Upon classification, a total number of objects in the IR image can be determined. The present system and method finds its intended uses in of real world applications such as, determining the number of occupants in a vehicle traveling in a HOV/HOT lane.
    • 所公开的是用于确定使用IR成像系统获得的IR图像中的对象数量的新颖系统和方法。 在一个实施例中,使用包括IR检测装置和IR照明器的IR成像系统对IR图​​像中的每个像素收集总共N个强度值。 从已经为多种已知材料(例如皮肤和头发)估计的数据库检索强度值。 使用反射率的最佳拟合方法或相关方法来确定IR图像中的每个像素的分类。 在分类时,可以确定IR图像中的对象的总数。 本系统和方法在现实应用中找到其预期用途,例如确定在HOV / HOT车道中行驶的车辆中的乘客人数。
    • 8. 发明申请
    • BLACK POINT COMPENSATION IN A TIPP ARCHITECTURE
    • 烟囱建筑中的黑点补偿
    • US20110019212A1
    • 2011-01-27
    • US12507515
    • 2009-07-22
    • Yao Rong WANGLalit Keshav MESTHA
    • Yao Rong WANGLalit Keshav MESTHA
    • H04N1/60
    • H04N1/407
    • 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.
    • 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。