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。

公开(公告)号：US09202118B2

公开(公告)日：2015-12-01

申请号：US13324308

申请日：2011-12-13

申请人： Yao Rong Wang ,  Beilei Xu ,  Peter Paul

发明人： Yao Rong Wang ,  Beilei Xu ,  Peter Paul

IPC分类号： G06K9/00

CPC分类号： G06K9/00838 ,  G06K9/00221 ,  G06K9/00362

摘要： What is disclosed is a system and method for determining a pixel classification threshold for vehicle occupancy determination. An IR image of a moving vehicle is captured using a multi-band IR imaging system. A driver's face is detected using a face recognition algorithm. Multi-spectral information extracted from pixels identified as human tissue of the driver's face is used to determine a pixel classification threshold. This threshold is then used to facilitate a classification of pixels of a remainder of the IR image. Once pixels in the remainder of the image have been classified, a determination can be made whether the vehicle contains additional human occupants other than the driver. An authority is alerted in the instance where the vehicle is found to be traveling in a HOV/HOT lane requiring two or more human occupants and a determination has been made that the vehicle contains an insufficient number of human occupants.

摘要翻译： 公开的是用于确定车辆占用确定的像素分类阈值的系统和方法。 使用多频带IR成像系统捕获移动车辆的IR图像。 使用人脸识别算法检测驾驶员的脸部。 使用从识别为驾驶员脸部的人体组织的像素提取的多光谱信息来确定像素分类阈值。 然后使用该阈值来促进红外图像的其余部分的像素的分类。 一旦图像的其余部分中的像素被分类，则可以确定车辆是否包含驾驶员以外的其他人员。 在发现车辆在需要两个或更多人的乘客的HOV / HOT车道中行驶的情况下，警告当局，并且已经确定车辆包含的人数不足。

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。

公开(公告)号：US08587657B2

公开(公告)日：2013-11-19

申请号：US13086006

申请日：2011-04-13

申请人： Yao Rong Wang ,  Zhigang Fan ,  Lalit Keshav Mestha

发明人： Yao Rong Wang ,  Zhigang Fan ,  Lalit Keshav Mestha

IPC分类号： H04N7/18 ,  H04N5/33 ,  G06K9/00

CPC分类号： G06K9/00369 ,  G06K2009/4657 ,  G06T7/11 ,  G06T2207/10048 ,  G06T2207/30242

摘要： 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.

摘要翻译： 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。

公开(公告)号：US20130266187A1

公开(公告)日：2013-10-10

申请号：US13461221

申请日：2012-05-01

申请人： Orhan Bulan ,  Robert P. Loce ,  Edgar A. Bernal ,  Yao Rong Wang ,  Graham S. Pennington

发明人： Orhan Bulan ,  Robert P. Loce ,  Edgar A. Bernal ,  Yao Rong Wang ,  Graham S. Pennington

IPC分类号： G06K9/62

CPC分类号： G06K9/00785

摘要： A method and a system for determining a parking angle violation includes receiving video data from a sequence of frames taken from an image capture device monitoring a parking area. The method further includes determining a first line in a current frame where the line represents a nominal orientation of the parking area. The method includes detecting a presence of a vehicle in the parking area. The method includes determining a second line in the frame where the line represents the orientation of the detected vehicle. The method further includes computing an angle between the first and second lines. The method includes determining whether the detected vehicle is violating a parking regulation based on the computed angle.

摘要翻译： 用于确定停车角违规的方法和系统包括从监视停车区域的图像拍摄装置获取的帧序列中接收视频数据。 该方法还包括确定当前帧中的第一行，其中该行表示停车区域的标称取向。 该方法包括在停车区域中检测车辆的存在。 该方法包括确定帧中的第二行，其中该线表示检测到的车辆的取向。 该方法还包括计算第一和第二线之间的角度。 该方法包括基于计算出的角度来确定检测到的车辆是否违反停车调节。

公开(公告)号：US20130266185A1

公开(公告)日：2013-10-10

申请号：US13441253

申请日：2012-04-06

申请人： Orhan Bulan ,  Yao Rong Wang ,  Robert P. Loce ,  Edgar A. Bernal ,  Zhigang Fan ,  Graham S. Pennington ,  David P. Cummins

发明人： Orhan Bulan ,  Yao Rong Wang ,  Robert P. Loce ,  Edgar A. Bernal ,  Zhigang Fan ,  Graham S. Pennington ,  David P. Cummins

IPC分类号： G06K9/00

CPC分类号： G06K9/00771 ,  G06K9/3233

摘要： A method for determining a parking violation includes receiving video data as a sequence of frames provided by a camera. The method includes defining a location of an exclusion zone in the video data. The method includes detecting a vehicle located in the defined exclusion zone. The detecting includes determining a background in an initial frame of the video data and determining a background in a select frame by applying a predetermined updating process. The detecting includes subtracting the background of the select frame from the initial frame to obtain an image difference. The detecting includes classifying the pixels in the image difference as foreground or background pixels and classifying the pixels in the foreground image as vehicle or non-vehicle pixels. The method includes determining a duration that the detected vehicle is in the exclusion zone based on a number of the sequence of frames including the detected vehicle.

摘要翻译： 用于确定停车违规的方法包括接收视频数据作为由相机提供的帧序列。 该方法包括在视频数据中定义排除区的位置。 该方法包括检测位于限定的禁区中的车辆。 检测包括确定视频数据的初始帧中的背景，并通过应用预定的更新过程来确定选择帧中的背景。 检测包括从初始帧中减去选择帧的背景以获得图像差异。 检测包括将图像差异中的像素分类为前景或背景像素，并将前景图像中的像素分类为车辆或非车辆像素。 该方法包括基于包括检测到的车辆的帧序列的数量来确定检测到的车辆在排除区域中的持续时间。

公开(公告)号：US08547613B2

公开(公告)日：2013-10-01

申请号：US12915217

申请日：2010-10-29

申请人： Lalit Keshav Mestha ,  Martin S. Maltz ,  Yao Rong Wang

发明人： Lalit Keshav Mestha ,  Martin S. Maltz ,  Yao Rong Wang

IPC分类号： H04N1/60 ,  G03F3/08 ,  G06K9/00

CPC分类号： H04N1/6022

摘要： What is disclosed is a novel system and method of inheriting intended GCR into a 4-to-4 cascaded LUT to compensate for print engine change which adversely impacts the quality of an output print. The present method uses the device link transform to generate starting LUT nodes for the inverse of the drifted printer model by inputting CMYK or RGB into the device link at a color space resolution sufficient to determine output nodes. Lab and CMYK values are derived from this process, and a “starting LUT” is created at the Lab destination nodes. An iterative control begins with this starting LUT to produce an inverse drifted printer model that contains a close approximation for the intended GCR. The present method captures the intent of the device link transform for a fleet and generates the cascaded LUT for drift, specific printer, side1/side2, and other modes leading to special GCRs.

摘要翻译： 所公开的是将期望的GCR继承到4对4级联LUT中以补偿不利地影响输出打印质量的打印引擎改变的新型系统和方法。 本方法使用设备链接变换通过以足以确定输出节点的颜色空间分辨率将CMYK或RGB输入到设备链接中来生成漂移的打印机模型的倒数的起始LUT节点。 实验室和CMYK值是从该过程得到的，并且在实验室目标节点处创建一个“起始LUT”。 迭代控制开始于该起始LUT以产生包含对于预期GCR的近似近似的反漂移打印机模型。 本方法捕获了针对车队的设备链接变换的意图，并生成用于漂移，特定打印机，side1 / side2和导致特殊GCR的其他模式的级联LUT。

公开(公告)号：US08457415B1

公开(公告)日：2013-06-04

申请号：US13324433

申请日：2011-12-13

申请人： Yao Rong Wang ,  Lalit Keshav Mestha

发明人： Yao Rong Wang ,  Lalit Keshav Mestha

IPC分类号： G06K9/68

CPC分类号： G06K9/72 ,  G06K9/4652

摘要： 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.

摘要翻译： 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：US08456698B2

公开(公告)日：2013-06-04

申请号：US12533542

申请日：2009-07-31

申请人： Alvaro E. Gil ,  Yao Rong Wang ,  Lalit Keshav Mestha

发明人： Alvaro E. Gil ,  Yao Rong Wang ,  Lalit Keshav Mestha

IPC分类号： G06F15/00 ,  H04N1/40 ,  G06K9/00

CPC分类号： H04N1/54 ,  H04N1/6052 ,  H04N1/6088

摘要： A methodology is disclosed to achieve adaptive illumination independent matching of out-of-gamut spot colors. In one embodiment, the methodology includes an iterative process to determine a variety device specific recipes for out-of-gamut spot colors across different illumination spectra and gamut mapping techniques, and then automatically choosing and/or recommending the optimal recipe and gamut mapping technique that provides the lowest color dispersion across a variety of illuminants under consideration.

摘要翻译： 公开了一种用于实现色域外色彩的自适应照明独立匹配的方法。 在一个实施例中，该方法包括迭代过程，以确定跨不同照明光谱和色域映射技术的色域外色彩的特定配方，然后自动选择和/或推荐最佳配方和色域映射技术， 在考虑的各种光源下提供最低的色散。

公开(公告)号：US20120212752A1

公开(公告)日：2012-08-23

申请号：US13029753

申请日：2011-02-17

申请人： Yao Rong Wang ,  Lalit Keshav Mestha ,  Martin S. Maltz

发明人： Yao Rong Wang ,  Lalit Keshav Mestha ,  Martin S. Maltz

IPC分类号： H04N1/60

CPC分类号： H04N1/6016 ,  H04N1/40006

摘要： What is disclosed is a system and method which addresses the problem of inheriting color management intent from a fleet color management LUT into a 4-to-4 cascaded LUT. The LUT is updated starting with a set of patches that either form a uniform or non-uniform grid of the LUT or can be projected to a uniform or non-uniform grid in the CMYK space using, e.g., PCA. A set of L*a*b* target as well a variable that serve the purpose of preserving the GCR and other elements of the fleet profile is obtained by passing the set of CMYK values to the fleet printer model. By iterating on the printer (or the printer model of the engine at the moment of the engine change) and converging to the targets, the engine device cmyk set is obtained. The LUT is formed between the uniform or non-uniform gridded CMYK and the device cmyk.

摘要翻译： 公开的是一种系统和方法，其解决将车队颜色管理LUT的颜色管理意图从继承到4对4级联LUT的问题。 LUT以从LUT的统一或非均匀网格形成的一组补丁开始更新，或者使用例如PCA将其投影到CMYK空间中的均匀或非均匀网格。 通过将一组CMYK值传递给车队打印机模型，获得一组L * a * b *目标以及用于保存GCR和船队简档的其他元素的变量。 通过在打印机（或发动机更换时刻的发动机的打印机型号）上迭代并收敛到目标，获得发动机装置cmyk组。 LUT在均匀或不均匀的网格CMYK和设备cmyk之间形成。