公开(公告)号：US20120327232A1

公开(公告)日：2012-12-27

申请号：US13207857

申请日：2011-08-11

申请人： Tai-Chang Yang ,  Yin-Pin Chang ,  Wen-Yan Chang ,  Hong-Long Chou

发明人： Tai-Chang Yang ,  Yin-Pin Chang ,  Wen-Yan Chang ,  Hong-Long Chou

IPC分类号： H04N7/18 ,  G06K9/00

CPC分类号： G06F3/011 ,  B60N2/0248 ,  B60N2002/0268 ,  B60N2002/0272 ,  B60R16/037 ,  B60R16/0373 ,  G06F3/017 ,  G06K9/00845

摘要： An automobile equipment control system and a control method thereof. The system comprises an input module, a storage module, an image capturing module, a first recognizing module, a second recognizing module and a processing module. The input module is used to input a plurality of vehicle equipment setting values. The storage module is used to save a plurality of facial characteristic values and a plurality of setting values of vehicle equipment. The image capturing module is used to capture the image of the user. The first recognizing module analyzes the facial image in the image and extracts a facial characteristic point from the facial image. The second recognizing module analyzes the user's hand gesture, the user's head gestures or what the user speaks so as to decide which setting value of vehicle equipment is adopted to control the vehicle equipment.

摘要翻译： 一种汽车设备控制系统及其控制方法。 该系统包括输入模块，存储模块，图像捕获模块，第一识别模块，第二识别模块和处理模块。 输入模块用于输入多个车辆设备设定值。 存储模块用于保存车辆设备的多个面部特征值和多个设定值。 图像捕获模块用于捕获用户的图像。 第一识别模块分析图像中的面部图像并从面部图像提取面部特征点。 第二识别模块分析用户的手势，用户的头部手势或用户说话的方式，以决定采用车辆设备的设置值来控制车辆设备。

公开(公告)号：US08483453B2

公开(公告)日：2013-07-09

申请号：US13074557

申请日：2011-03-29

申请人： Tai-Chang Yang ,  Yin-Pin Chang ,  Wen-Yan Chang ,  Hong-Long Chou

发明人： Tai-Chang Yang ,  Yin-Pin Chang ,  Wen-Yan Chang ,  Hong-Long Chou

IPC分类号： G06K9/00

CPC分类号： G06K9/00832 ,  B60H2001/00992 ,  G06K9/00288

摘要： A vehicle apparatus control system and method thereof are disclosed. The vehicle apparatus control system comprises a data storage module, an image capturing module, a face recognition module and a control module. The data storage module stores multiple registered users' facial feature parameters and vehicle apparatus setting parameters, and integration setting data. The face recognition module detects several facial images contained in the captured image and recognizes the users corresponding to the face images according to the facial feature parameters stored in data storage module. The control module set a vehicle apparatus according to the integration setting data, and the corresponding users' vehicle apparatus setting parameters.

摘要翻译： 公开了一种车辆装置控制系统及其方法。 车辆装置控制系统包括数据存储模块，图像捕获模块，人脸识别模块和控制模块。 数据存储模块存储多个注册用户的面部特征参数和车辆设备设置参数，以及积分设置数据。 面部识别模块根据存储在数据存储模块中的面部特征参数，检测拍摄图像中包含的几张面部图像，并识别对应于面部图像的用户。 控制模块根据积分设定数据和对应的用户的车辆装置设定参数设定车辆装置。

公开(公告)号：US08325998B2

公开(公告)日：2012-12-04

申请号：US12328891

申请日：2008-12-05

申请人： Tai-Chang Yang ,  Hong-Long Chou ,  Yin-Pin Chang

发明人： Tai-Chang Yang ,  Hong-Long Chou ,  Yin-Pin Chang

IPC分类号： G06K9/00

CPC分类号： G06K9/00228

摘要： A multidirectional face detection method is for detecting a face in a picture under detection at different positions. The face detection method includes the steps. A selecting window sets to sequentially select different sub-image patterns from the picture under detection. A facial feature weight calculates and it is calculated according to a feature value of the pixels in a sub-image pattern selected by the selecting window, thereby determining if the sub-image pattern has any features similar to the face. A facial edge weight calculates for made on the picture under detection according to a boundary value of the pixels in the sub-image pattern selected by the selecting window, so as to determine if the part of area of the picture under detection has any facial-boundaries. Profile detection is performed to respectively mark the facial-boundaries in the sub-image patterns with arc segments respectively for the sub-image patterns having the facial-boundaries.

摘要翻译： 多方向面部检测方法用于在不同位置检测图像中的脸部。 面部检测方法包括以下步骤。 选择窗口设置为从检测到的图片中顺序地选择不同的子图像图案。 面部特征权重计算，并且根据由选择窗口选择的子图像图案中的像素的特征值来计算，从而确定子图像图案是否具有与面部相似的任何特征。 面部边缘权重根据由选择窗口选择的子图像图案中的像素的边界值，在检测到的图像上进行计算，以确定被检测图像的部分区域是否具有任何面部边缘权重， 边界 执行轮廓检测以分别用于具有弧段的子图像图案中的面部边界，用于具有面部边界的子图像图案。

公开(公告)号：US08532337B2

公开(公告)日：2013-09-10

申请号：US13077013

申请日：2011-03-31

申请人： Yin-Pin Chang ,  Wen-Yan Chang ,  Hong-Long Chou

发明人： Yin-Pin Chang ,  Wen-Yan Chang ,  Hong-Long Chou

IPC分类号： G06K9/00

CPC分类号： G06T7/248 ,  G06T2207/10024

摘要： An object tracking method includes steps of obtaining multiple first classifications of pixels within a first focus frame in a first frame picture, wherein the first focus frame includes an object to be tracked and has a first rectangular frame in a second frame picture; performing a positioning process to obtain a second rectangular frame; and obtaining color features of pixels around the second rectangular frame sequentially and establishing multiple second classifications according to the color feature. The established second classifications are compared with the first classifications sequentially to obtain an approximation value, compared with a predetermined threshold. The second rectangular frame is progressively adjusted, so as to establish a second focus frame. By analyzing color features of the pixels of the object and with a classification manner, the efficacy of detecting a shape and size of the object so as to update information of the focus frame is achieved.

摘要翻译： 对象跟踪方法包括以下步骤：在第一帧画面中获得第一焦点帧内的像素的多个第一分类，其中第一焦点帧包括要跟踪的对象，并且在第二帧画面中具有第一矩形帧; 执行定位处理以获得第二矩形框; 并且顺序地获得第二矩形框周围的像素的颜色特征，并根据颜色特征建立多个第二分类。 将所建立的第二分类顺序与第一分类进行比较，以获得与预定阈值相比的近似值。 逐渐调整第二矩形框架，以便建立第二焦点框架。 通过分析对象的像素的颜色特征和分类方式，实现检测对象的形状和大小以更新聚焦框的信息的功效。

公开(公告)号：US20130022236A1

公开(公告)日：2013-01-24

申请号：US13227119

申请日：2011-09-07

申请人： Yin-Pin Chang ,  Wen-Yan Chang ,  Hong-Long Chou

发明人： Yin-Pin Chang ,  Wen-Yan Chang ,  Hong-Long Chou

IPC分类号： G06K9/00

CPC分类号： G06T7/77 ,  G06T2207/10024

摘要： An apparatus capable of detecting location of object contained in image data and its detecting method are disclosed. The apparatus comprises an image capturing module, a weight assignment module, and a processing module. The image capturing module is for capturing an image. The weight assignment module performs the pixel weight/probability assignment according to the priori information and the image, and figures out the initial gravity center of the object according to the object location initialization. The processing module performs the statistical analysis according to the result of the pixel weight/probability assignment and the initial gravity center of the object so as to obtain the analysis result and update the object location. The processing module determines whether or not the analysis result meets the preset value, if it does, the processing module outputs an estimated result; if it doesn't, the processing module repeats the foregoing processes.

摘要翻译： 公开了能够检测图像数据中包含的对象的位置的装置及其检测方法。 该装置包括图像捕获模块，重量分配模块和处理模块。 图像捕获模块用于捕获图像。 权重分配模块根据先验信息和图像执行像素权重/概率分配，并根据对象位置初始化来计算对象的初始重心。 处理模块根据像素权重/概率分配的结果和对象的初始重心进行统计分析，以获得分析结果并更新对象位置。 处理模块确定分析结果是否满足预设值，如果是，则处理模块输出估计结果; 如果没有，则处理模块重复上述处理。

公开(公告)号：US20120106783A1

公开(公告)日：2012-05-03

申请号：US13077013

申请日：2011-03-31

申请人： Yin-Pin Chang ,  Wen-Yan Chang ,  Hong-Long Chou

发明人： Yin-Pin Chang ,  Wen-Yan Chang ,  Hong-Long Chou

IPC分类号： G06K9/00

CPC分类号： G06T7/248 ,  G06T2207/10024

摘要： An object tracking method includes steps of obtaining multiple first classifications of pixels within a first focus frame in a first frame picture, wherein the first focus frame includes an object to be tracked and has a first rectangular frame in a second frame picture; performing a positioning process to obtain a second rectangular frame; and obtaining color features of pixels around the second rectangular frame sequentially and establishing multiple second classifications according to the color feature. The established second classifications are compared with the first classifications sequentially to obtain an approximation value, compared with a predetermined threshold. The second rectangular frame is progressively adjusted, so as to establish a second focus frame. By analyzing color features of the pixels of the object and with a classification manner, the efficacy of detecting a shape and size of the object so as to update information of the focus frame is achieved.

摘要翻译： 对象跟踪方法包括以下步骤：在第一帧画面中获得第一焦点帧内的像素的多个第一分类，其中第一焦点帧包括要跟踪的对象，并且在第二帧画面中具有第一矩形帧; 执行定位处理以获得第二矩形框; 并且顺序地获得第二矩形框周围的像素的颜色特征，并根据颜色特征建立多个第二分类。 将所建立的第二分类顺序与第一分类进行比较，以获得与预定阈值相比的近似值。 逐渐调整第二矩形框架，以便建立第二焦点框架。 通过分析对象的像素的颜色特征和分类方式，实现检测对象的形状和大小以更新聚焦框的信息的功效。

公开(公告)号：US08085983B2

公开(公告)日：2011-12-27

申请号：US12344796

申请日：2008-12-29

申请人： Yin-Pin Chang ,  Tai-Chang Yang ,  Hong-Long Chou

发明人： Yin-Pin Chang ,  Tai-Chang Yang ,  Hong-Long Chou

IPC分类号： G06K9/00

CPC分类号： G06K9/3233 ,  G06K9/00221

摘要： A method of adjusting selected window size of an image object is applicable for tracking a target object in a video. The video includes a plurality of frames, and the target object has a display range changing with the playback of each frame. According to a variation trend of the display range of the target object, whether a variation times corresponding to the variation trend reaches a threshold value or not is recorded, and then the selected window size is reset, such that the target object is enclosed with a selected window having a size closer to the target object.

摘要翻译： 调整图像对象的选定窗口大小的方法适用于跟踪视频中的目标对象。 视频包括多个帧，并且目标对象具有随着每个帧的重放而改变的显示范围。 根据目标对象的显示范围的变化趋势，记录与变化趋势对应的变化时间是否达到阈值，然后重新设定所选择的窗口尺寸，使得目标对象被包围在 所选择的窗口具有更接近目标对象的尺寸。

公开(公告)号：US08538079B2

公开(公告)日：2013-09-17

申请号：US13227119

申请日：2011-09-07

申请人： Yin-Pin Chang ,  Wen-Yan Chang ,  Hong-Long Chou

发明人： Yin-Pin Chang ,  Wen-Yan Chang ,  Hong-Long Chou

IPC分类号： G06K9/00 ,  G06K9/62 ,  G06K9/36

CPC分类号： G06T7/77 ,  G06T2207/10024

摘要： An apparatus capable of detecting location of object contained in image data and its detecting method are disclosed. The apparatus comprises an image capturing module, a weight assignment module, and a processing module. The image capturing module is for capturing an image. The weight assignment module performs the pixel weight/probability assignment according to the priori information and the image, and figures out the initial gravity center of the object according to the object location initialization. The processing module performs the statistical analysis according to the result of the pixel weight/probability assignment and the initial gravity center of the object so as to obtain the analysis result and update the object location. The processing module determines whether or not the analysis result meets the preset value, if it does, the processing module outputs an estimated result; if it doesn't, the processing module repeats the foregoing processes.

摘要翻译： 公开了能够检测图像数据中包含的对象的位置的装置及其检测方法。 该装置包括图像捕获模块，重量分配模块和处理模块。 图像捕获模块用于捕获图像。 权重分配模块根据先验信息和图像执行像素权重/概率分配，并根据对象位置初始化来计算对象的初始重心。 处理模块根据像素权重/概率分配的结果和对象的初始重心进行统计分析，以获得分析结果并更新对象位置。 处理模块确定分析结果是否满足预设值，如果是，则处理模块输出估计结果; 如果没有，则处理模块重复上述处理。

公开(公告)号：US08306282B2

公开(公告)日：2012-11-06

申请号：US12350378

申请日：2009-01-08

申请人： Hong-Long Chou ,  Tai-Chang Yang ,  Yin-Pin Chang

发明人： Hong-Long Chou ,  Tai-Chang Yang ,  Yin-Pin Chang

IPC分类号： G06K9/00

CPC分类号： G06K9/6282 ,  G06K9/00221 ,  G06K9/6807

摘要： A hierarchical face recognition training method and a hierarchical face recognition method thereof for performing a face feature recognition on an image under detection. The method includes a training process and a recognition process. The recognition method includes the steps. A plurality of training samples is obtained. The training samples are subdivided into a plurality of sub-image categories according to a plurality of angle intervals, and the training of a plurality of face features performs on a corresponding sub-image detector of each of the sub-image categories. The training measures performed repeatedly to generate sub-image categories at a sub-level of the sub-image categories. The training method includes the steps. An image under detection is loaded. A similarity of each of sub-image detectors compares according to the image under detection, and the sub-image detector having the highest similarity is selected. The face recognition measures performed repeatedly on the selected sub-image detector.

摘要翻译： 一种用于对检测到的图像执行面部特征识别的分层面部识别训练方法和分层面部识别方法。 该方法包括训练过程和识别过程。 识别方法包括步骤。 获得多个训练样本。 训练样本根据多个角度间隔被细分为多个子图像类别，并且多个脸部特征的训练在每个子图像类别的相应子图像检测器上执行。 重复执行的训练措施，以在子图像类别的子级别生成子图像类别。 训练方法包括步骤。 检测到的图像被加载。 每个子图像检测器的相似度根据检测到的图像进行比较，并且选择具有最高相似度的子图像检测器。 在所选择的子图像检测器上重复执行面部识别措施。

公开(公告)号：US08194979B2

公开(公告)日：2012-06-05

申请号：US12344326

申请日：2008-12-26

申请人： Yin-Pin Chang ,  Hong-Long Chou ,  Yu-Chen Huang

发明人： Yin-Pin Chang ,  Hong-Long Chou ,  Yu-Chen Huang

IPC分类号： G06K9/00 ,  G06K9/40

CPC分类号： H04N9/646 ,  H04N1/60

摘要： A method of correcting a false-color pixel in a digital image is used to correct a false-color pixel generated after being processed by a color correction matrix (CCM). The method includes the following steps. Obtaining a raw image, for being processed by the CCM operation to generate a processed image; comparing pixels of the raw image with that of the processed image according to a color difference ratio, to find out a false-color pixel in the pixels of the processed image; then, performing a color correction on the false-color pixel at the corresponding position of the raw image and the processed image. The false-color pixel is corrected according to the pixel color at the corresponding position of the raw image.

摘要翻译： 使用校正数字图像中的假色像素的方法来校正由颜色校正矩阵（CCM）处理之后生成的假色像素。 该方法包括以下步骤。 获取原始图像，以便由CCM操作处理以产生经处理的图像; 根据色差比对原始图像的像素与处理图像的像素进行比较，以找出处理图像的像素中的假色像素; 然后对原始图像和处理图像的对应位置处的伪色像素执行颜色校正。 根据原始图像的对应位置处的像素颜色来校正假色像素。