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1. 发明授权

US08611608B2 Front seat vehicle occupancy detection via seat pattern recognition 有权
标题翻译：通过座椅模式识别进行前排座椅车辆占用检测
公开(公告)号：US08611608B2
公开(公告)日：2013-12-17
申请号：US13215401
申请日：2011-08-23
申请人： Zhigang Fan , Abu Saeed Islam , Peter Paul , Beilei Xu , Lalit Keshav Mestha
发明人： Zhigang Fan , Abu Saeed Islam , Peter Paul , Beilei Xu , Lalit Keshav Mestha
IPC分类号： G06K9/00
CPC分类号： G06K9/00234 , G06K9/00838 , G06K9/2018
摘要： 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.
摘要翻译：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。

2. 发明授权

US08811664B2 Vehicle occupancy detection via single band infrared imaging 有权
标题翻译：通过单频带红外成像检测车辆
公开(公告)号：US08811664B2
公开(公告)日：2014-08-19
申请号：US13312414
申请日：2011-12-06
申请人： Edul N. Dalal , Peter Paul , Lalit Keshav Mestha , Abu Saeed Islam
发明人： Edul N. Dalal , Peter Paul , Lalit Keshav Mestha , Abu Saeed Islam
IPC分类号： G06K9/00 , G06K9/46
CPC分类号： G06K9/00362 , G06K9/2018 , H04N5/33
摘要： 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.
摘要翻译：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。

3. 发明授权

US08600227B2 Multi-filter array for a multi-resolution, multi-spectral camera 有权
标题翻译：用于多分辨率，多光谱相机的多滤镜阵列
公开(公告)号：US08600227B2
公开(公告)日：2013-12-03
申请号：US13239642
申请日：2011-09-22
申请人： Beilei Xu , Lalit Keshav Mestha , Yao Rong Wang , Peter Paul
发明人： Beilei Xu , Lalit Keshav Mestha , Yao Rong Wang , Peter Paul
IPC分类号： G03B11/00
CPC分类号： G06K9/209 , G01J3/2823 , G01J3/36 , G02B5/201 , G02B5/208 , G03B11/00 , G06K9/00255 , G06K2009/00932
摘要： A filter array for a multi-resolution multi-spectral camera system is described which not only captures 2D images at multiple wavelength bands simultaneously but also at a spatial resolution that meets the demand for spatial feature extraction. The present system optimizes filter bands that provide high image contrast at the highest possible resolution to enable spatial feature extraction and other wavelength bands at lower resolution to achieve maximum number of wavelength bands (e.g. spectral resolution) for multi-spectral analysis. After determining the required spatial resolution and number of wavelength bands for spectral analysis, multiple filters are arranged in a geometric pattern with each filter being designed to have specified wavelength and spatial resolution. Physical sizes of filters differ within each filter group. This maximizes the detector usage while optimizing the trade-off between spatial resolution and spectral resolution. Filter gaps are fixed or tuned to wavelengths of interest.
摘要翻译：描述了用于多分辨率多光谱照相机系统的滤光器阵列，其不仅在多个波长带同时捕获2D图像，而且以满足空间特征提取需求的空间分辨率捕获。本系统优化以最高可能分辨率提供高图像对比度的滤波器频带，以便能够以较低分辨率进行空间特征提取和其他波长带，以实现用于多光谱分析的最大数量的波段（例如光谱分辨率）。在确定所需的空间分辨率和用于频谱分析的波长带数之后，多个滤波器以几何图形排列，每个滤波器被设计为具有指定的波长和空间分辨率。每个过滤器组中过滤器的物理尺寸不同。这最大限度地提高了检测器的使用率，同时优化了空间分辨率和光谱分辨率之间的折衷。滤波器间隙固定或调谐到感兴趣的波长。

4. 发明授权

US09019358B2 Method for classifying a pixel of a hyperspectral image in a remote sensing application 有权
标题翻译：遥感应用中高光谱图像像素分类方法
公开(公告)号：US09019358B2
公开(公告)日：2015-04-28
申请号：US13023310
申请日：2011-02-08
申请人： Lalit Keshav Mestha , Beilei Xu , Peter Paul
发明人： Lalit Keshav Mestha , Beilei Xu , Peter Paul
IPC分类号： H04N7/18 , G06K9/00
CPC分类号： G06K9/0063 , G06K2009/00644
摘要： 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.
摘要翻译：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。

5. 发明申请

US20120200682A1 METHOD FOR CLASSIFYING A PIXEL OF A HYPERSPECTRAL IMAGE IN A REMOTE SENSING APPLICATION 有权
标题翻译：远程感应应用中超分辨率图像像素分类方法
公开(公告)号：US20120200682A1
公开(公告)日：2012-08-09
申请号：US13023310
申请日：2011-02-08
申请人： Lalit Keshav Mestha , Beilei Xu , Peter Paul
发明人： Lalit Keshav Mestha , Beilei Xu , Peter Paul
IPC分类号： H04N7/18 , G06K9/62
CPC分类号： G06K9/0063 , G06K2009/00644
摘要： 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.
摘要翻译：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。

6. 发明授权

US08977347B2 Video-based estimation of heart rate variability 有权
标题翻译：基于视频的心率变异性估计
公开(公告)号：US08977347B2
公开(公告)日：2015-03-10
申请号：US13532057
申请日：2012-06-25
申请人： Lalit Keshav Mestha , Survi Kyal , Beilei Xu , Himanshu J. Madhu
发明人： Lalit Keshav Mestha , Survi Kyal , Beilei Xu , Himanshu J. Madhu
IPC分类号： A61B5/024
CPC分类号： A61B5/02405 , A61B5/0004 , A61B5/02416 , A61B5/7235 , A61B2576/00
摘要： 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.
摘要翻译：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。

7. 发明授权

US08855384B2 Continuous cardiac pulse rate estimation from multi-channel source video data 有权
标题翻译：来自多通道源视频数据的连续心脏脉搏率估计
公开(公告)号：US08855384B2
公开(公告)日：2014-10-07
申请号：US13528307
申请日：2012-06-20
申请人： Survi Kyal , Lalit Keshav Mestha , Beilei Xu
发明人： Survi Kyal , Lalit Keshav Mestha , Beilei Xu
IPC分类号： G06K9/00
CPC分类号： G06K9/6217 , A61B5/024 , G06K9/0057 , G06K2209/05
摘要： 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.
摘要翻译：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。

8. 发明授权

US09301710B2 Processing a video for respiration rate estimation 有权
标题翻译：处理用于呼吸速率估计的视频
公开(公告)号：US09301710B2
公开(公告)日：2016-04-05
申请号：US13529648
申请日：2012-06-21
申请人： Lalit Keshav Mestha , Edgar A. Bernal , Beilei Xu
发明人： Lalit Keshav Mestha , Edgar A. Bernal , Beilei Xu
IPC分类号： A61B5/05 , A61B5/107 , A61B5/00 , A61B5/08 , A61B5/11 , A61B5/113 , G01B11/25 , G06T7/00 , G06T7/20 , G06K9/00
CPC分类号： A61B5/1077 , A61B5/0064 , A61B5/0816 , A61B5/1128 , A61B5/1135 , G01B11/2527 , G06K9/0053 , G06T7/262 , G06T7/521 , G06T2207/10016 , G06T2207/10024 , G06T2207/10048 , G06T2207/10152 , G06T2207/20044 , G06T2207/20056 , G06T2207/30076 , G09G2380/08
摘要： What is disclosed is a system and method for estimating a respiration rate by analyzing distortions in reflections of structured illumination patterns captured in a video containing a view of a subject's thoracic region. In one embodiment, a video of a target region of a body of a subject of interest is received. Video image frames are processed to estimate 3D time-series data for the target region. As more fully disclosed herein, the subject's respiration rate is estimated from the 3D time-series data. Measurements can be acquired under a diverse set of lighting conditions. The teachings hereof provide a non-contact approach to patient respiratory function monitoring that is useful for intensive care units and for monitoring at homes, and which aid in the detection of sudden deterioration of physiological conditions due to changes in respiration rates. The teachings hereof provide an effective tool for non-contact respiratory function study and analysis.
摘要翻译：公开的是通过分析在包含受试者胸部区域的视图中捕获的结构化照明模式的反射中的失真来估计呼吸率的系统和方法。在一个实施例中，接收感兴趣对象的身体的目标区域的视频。处理视频图像帧以估计目标区域的3D时间序列数据。如本文更全面地公开的，从3D时间序列数据估计对象的呼吸速率。可以在多种照明条件下获得测量。本文的教导为患者呼吸功能监测提供了非接触的方法，该方法对于重症监护病房有用，并且在家中进行监测，并且有助于检测呼吸速率变化引起的生理状况突然恶化。本文的教导为非接触式呼吸功能研究和分析提供了有效的工具。

9. 发明授权

US09171196B2 Multi-band infrared camera system optimized for skin detection 有权
标题翻译：针对皮肤检测优化的多波段红外相机系统
公开(公告)号：US09171196B2
公开(公告)日：2015-10-27
申请号：US13416436
申请日：2012-03-09
申请人： Yao Rong Wang , Lalit Keshav Mestha , Beilei Xu , Raja Bala , Graham Pennington
发明人： Yao Rong Wang , Lalit Keshav Mestha , Beilei Xu , Raja Bala , Graham Pennington
IPC分类号： H04N7/18 , G06K9/00 , H04N5/33 , G06K9/20
CPC分类号： G06K9/00255 , G06K9/00838 , G06K9/2018 , H04N5/33
摘要： 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.
摘要翻译：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。

10. 发明授权

US09155475B2 Enabling hybrid video capture of a scene illuminated with unstructured and structured illumination sources 有权
标题翻译：启用使用非结构化和结构化照明光源照明的场景的混合视频捕获
公开(公告)号：US09155475B2
公开(公告)日：2015-10-13
申请号：US13533605
申请日：2012-06-26
申请人： Beilei Xu , Lalit Keshav Mestha , Edgar A. Bernal
发明人： Beilei Xu , Lalit Keshav Mestha , Edgar A. Bernal
IPC分类号： H04N5/232 , A61B5/00 , H04N5/225 , H04N5/235
CPC分类号： A61B5/0077 , A61B5/0035 , A61B5/0073 , H04N5/2256 , H04N5/23296 , H04N5/2354
摘要： What is disclosed is a system and method for enabling hybrid video capture of a scene being illuminated with structured and unstructured illumination sources over a wavelength range of interest that significantly intersects with each other. In one embodiment, the present system comprises a video capture device for capturing video of a scene being actively illuminated by both a structured and unstructured illumination source; a controller for controlling a manipulation of at least one structured and at least one unstructured illumination sources during capture of the video by the video capture device; and a processor in communication with the controller, the processor executing machine readable program instructions effectuating the manipulation. Various embodiments are disclosed.
摘要翻译：所公开的是一种系统和方法，用于实现在结构化和非结构化照明源上照射的场景的混合视频捕获，所述结构化和非结构化照明源在相互显着相交的感兴趣的波长范围内。在一个实施例中，本系统包括用于捕获被结构化和非结构化照明源主动照亮的场景的视频的视频捕获设备; 控制器，用于在由所述视频捕捉设备拍摄所述视频期间控制对至少一个结构化和至少一个非结构化照明源的操纵; 以及与所述控制器通信的处理器，所述处理器执行执行所述操作的机器可读程序指令。公开了各种实施例。

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