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    • 1. 发明授权
    • Cleaning method for foggy images
    • 有雾图像的清洁方法
    • US08417053B2
    • 2013-04-09
    • US12793707
    • 2010-06-04
    • Chao-Ho ChenWen-Wei Tsai
    • Chao-Ho ChenWen-Wei Tsai
    • G06K9/40G06K9/00
    • G06T5/003G06T5/20G06T5/40G06T2207/10016G06T2207/10024G06T2207/20076G06T2207/30236
    • Determining if an input image is a foggy image includes determining an average luminance gray level of the input image, performing Sobel image processing on the input image to generate a Sobel image of the input image when the average luminance gray level of the input image is between a first image average luminance and a second image average luminance, determining a first normalization value and a second normalization value of the input image, determining a mean value and a standard deviation of the Sobel image when the first normalization value and the second normalization value are less than a first threshold value, and determining the input image as a foggy image when a sum of the mean value and the standard deviation is less than a second threshold value.
    • 确定输入图像是否是有雾图像包括确定输入图像的平均亮度灰度级,对输入图像执行Sobel图像处理以在输入图像的平均亮度灰度级在 第一图像平均亮度和第二图像平均亮度,确定输入图像的第一归一化值和第二归一化值,当第一归一化值和第二归一化值为第二归一化值和第二归一化值时,确定Sobel图像的平均值和标准偏差 小于第一阈值,并且当平均值和标准偏差的和小于第二阈值时,将输入图像确定为雾图像。
    • 6. 发明授权
    • Method for counting people passing through a gate
    • 计数穿过大门的人的方法
    • US07787656B2
    • 2010-08-31
    • US11681148
    • 2007-03-01
    • Chao-Ho Chen
    • Chao-Ho Chen
    • G06K9/00G06K9/48G01N21/25
    • G06T7/20G07C9/00G08B13/19608
    • Based on area and color analyses, a cost-effective bi-directional people counter dedicated to the pedestrian flow passing through a gate or a door is proposed. Firstly, the passing people are roughly counted with the area of people projected on an image captured by a zenithal video camera. The moving direction of the pedestrian can be recognized by tracking each people-pattern with an analysis of its HSI histogram. To improve the accuracy of counting, the color vector extracted from the quantized histograms of intensity or hue is introduced to refine the early counting. Besides, the inherent problems of both people touching together and merge/split phenomenon can be overcome.
    • 基于区域和颜色分析,提出了一种具有成本效益的双向人员计数器,致力于通过门或门的行人流。 首先,通过的人们大致上被计算在由天顶摄像机拍摄的图像上投影的人的面积。 通过对其HSI直方图的分析跟踪每个人模式,可以识别行人的移动方向。 为了提高计数的准确性,引入了从强度或色调的量化直方图中提取的颜色矢量,以改进早期计数。 此外,可以克服两人接触和融合/分裂现象的固有问题。
    • 7. 发明授权
    • Video noise reduction method using adaptive spatial and motion-compensation temporal filters
    • 使用自适应空间和运动补偿时间滤波器的视频降噪方法
    • US07729555B2
    • 2010-06-01
    • US11623098
    • 2007-01-15
    • Chao-Ho ChenMing-Kun Wu
    • Chao-Ho ChenMing-Kun Wu
    • G06K9/40G06K9/38H04N5/217H04N5/00
    • H04N5/144H04N5/21
    • A method includes calculating a mean of a plurality of pixels of a motion window, calculating a pixel amount of pixels similar to a center pixel, calculating a variance of the pixels, determining whether a difference between the center pixel and the mean is greater than a first predetermined value, determining whether the pixel amount similar to the center pixel is greater than a second predetermined value if the difference between the center pixel and the mean is not greater than the first predetermined value, determining whether the variance is smaller than a threshold value if the pixel amount similar to the center pixel is not greater than the second predetermined value, and filtering the center pixel according to a result of determining whether the variance is smaller than the threshold value. Finally, temporal weighted mean filters involving motion estimation are used for motion compensation in images after spatial filtering.
    • 一种方法包括计算运动窗口的多个像素的平均值,计算与中心像素相似的像素的像素数量,计算像素的方差,确定中心像素和平均值之间的差是否大于 第一预定值,如果中心像素和平均值之间的差不大于第一预定值,则确定与中心像素相似的像素量是否大于第二预定值,确定方差是否小于阈值 如果与中心像素相似的像素量不大于第二预定值,并且根据确定方差是否小于阈值的结果对中心像素进行滤波。 最后,涉及运动估计的时间加权平均滤波器用于空间滤波后的图像中的运动补偿。
    • 9. 发明授权
    • Method for intensifying identification of three-dimensional objects
    • 加强三维物体识别的方法
    • US08610760B2
    • 2013-12-17
    • US12967060
    • 2010-12-14
    • Chih-Hsiang TsaiHui-Wen ChenChao-Ming Wang
    • Chih-Hsiang TsaiHui-Wen ChenChao-Ming Wang
    • H04N13/02H04N13/04
    • G06T7/174G06T7/11G06T2207/10012G06T2207/30196
    • A method for intensifying identification of three-dimensional objects identification includes utilizing a left eye camera and a right eye camera to capture a left eye image and a right eye image, calibrating the left eye image and the right eye image to generate a calibrated left eye image and a calibrated right eye image, using the calibrated left eye image and the calibrated right eye image to generate a disparity map, differentiating a three-dimensional object from a background image according to the disparity map, projecting the three-dimensional object onto a plan view, filtering noise out of the plan view to generate a filtered three-dimensional object, determining whether the filtered three-dimensional object contains at least two three-dimensional objects, and separating the at least two three-dimensional objects if the filtered three-dimensional object contains at least two three-dimensional objects.
    • 一种用于加强三维物体识别识别的方法包括利用左眼相机和右眼相机捕获左眼图像和右眼图像,校准左眼图像和右眼图像以产生经校准的左眼 图像和校准的右眼图像,使用校准的左眼图像和校准的右眼图像来生成视差图,根据视差图将三维对象与背景图像区分开来,将三维对象投影到 平面图,从平面图中过滤噪声以产生滤波后的三维物体,确定滤波后的三维物体是否包含至少两个三维物体,如果过滤的三维物体被分离,则分离至少两个三维物体 维度对象包含至少两个三维对象。
    • 10. 发明授权
    • Method of locating license plate of moving vehicle
    • 定位车辆牌照的方法
    • US08290213B2
    • 2012-10-16
    • US12793699
    • 2010-06-04
    • Chao-Ho ChenChi-Ming HuangHui-Pin Huang
    • Chao-Ho ChenChi-Ming HuangHui-Pin Huang
    • G06K9/00
    • G06K9/325G06K9/38G06K2209/15
    • While locating a license plate of a moving vehicle on consecutive images, motion detection is first performed on the consecutive images to detect a moving vehicle image, which is segmented using edge detection, and the segmented moving vehicle image is analyzed to retrieve characteristics for locating a license plate image and determining characters on the located license plate image. As a result, a precise location of the license plate is thus precisely located for further recognition no matter what weathers in which the consecutive images are recorded. The above-mentioned technique requires merely few calculations, is easily implemented, and may be applied on an intelligent digital video recording (DVR) system including many computer-vision functions.
    • 当在连续图像上定位移动车辆的车牌时,首先对连续的图像执行运动检测,以检测使用边缘检测分段的移动车辆图像,并且分析移动的车辆图像以检索用于定位 车牌图像和确定位置车牌图像上的人物。 因此,无论记录连续图像的天气如何,因此精确地定位车牌的精确位置以进一步识别。 上述技术仅需少量计算,容易实现,并且可以应用于包括许多计算机视觉功能的智能数字视频记录(DVR)系统。