公开(公告)号：US08538079B2

公开(公告)日：2013-09-17

申请号：US13227119

申请日：2011-09-07

Applicant: Yin-Pin Chang ,  Wen-Yan Chang ,  Hong-Long Chou

Inventor： Yin-Pin Chang ,  Wen-Yan Chang ,  Hong-Long Chou

IPC: G06K9/00 ,  G06K9/62 ,  G06K9/36

CPC classification number: G06T7/77 ,  G06T2207/10024

Abstract: 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.

Abstract translation: 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：US08483453B2

公开(公告)日：2013-07-09

申请号：US13074557

申请日：2011-03-29

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

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

IPC: G06K9/00

CPC classification number: G06K9/00832 ,  B60H2001/00992 ,  G06K9/00288

Abstract: 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.

Abstract translation: 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：US08306282B2

公开(公告)日：2012-11-06

申请号：US12350378

申请日：2009-01-08

Applicant: Hong-Long Chou ,  Tai-Chang Yang ,  Yin-Pin Chang

Inventor： Hong-Long Chou ,  Tai-Chang Yang ,  Yin-Pin Chang

IPC: G06K9/00

CPC classification number: G06K9/6282 ,  G06K9/00221 ,  G06K9/6807

Abstract: 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.

Abstract translation: 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：US20120170817A1

公开(公告)日：2012-07-05

申请号：US13074557

申请日：2011-03-29

Applicant: TAI-CHANG YANG ,  YIN-PIN CHANG ,  WEN-YAN CHANG ,  HONG-LONG CHOU

Inventor： TAI-CHANG YANG ,  YIN-PIN CHANG ,  WEN-YAN CHANG ,  HONG-LONG CHOU

IPC: G06K9/00

CPC classification number: G06K9/00832 ,  B60H2001/00992 ,  G06K9/00288

Abstract: 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.

Abstract translation: 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：US20090169067A1

公开(公告)日：2009-07-02

申请号：US12344813

申请日：2008-12-29

Applicant: Yin-Pin CHANG ,  Tai-Chang YANG ,  Hong-Long CHOU

Inventor： Yin-Pin CHANG ,  Tai-Chang YANG ,  Hong-Long CHOU

IPC: G06K9/00

CPC classification number: G06K9/00295

Abstract: Face detection and tracking method is executed by a computer or a microprocessor with computing capability for identifying human faces and positions thereof in image frames. First, face detection is performed to detect human faces in a plurality of frames. Then, face tracking is performed on each of the frames to track the detected human faces and record positions of these human faces. Afterward, face detection on the image frames is again performed every few frames, skipping the positions of the human faces that have been recorded, so as to quickly search for other human faces that might be newly added.

Abstract translation: 面部检测和跟踪方法由具有计算能力的计算机或微处理器执行，用于在图像帧中识别人脸和位置。 首先，进行脸部检测以检测多个帧中的人脸。 然后，对每个帧执行脸部跟踪以跟踪检测到的人脸并记录这些人脸的位置。 之后，每隔几帧再次执行图像帧上的脸部检测，跳过已经记录的人脸的位置，以便快速搜索可能新添加的其他人脸。

公开(公告)号：US20090160980A1

公开(公告)日：2009-06-25

申请号：US12139526

申请日：2008-06-16

Applicant: Yu-Chen Huang ,  Yin-Pin Chang

Inventor： Yu-Chen Huang ,  Yin-Pin Chang

IPC: H04N5/235

CPC classification number: G06T5/40 ,  G06T5/008 ,  G06T7/12 ,  G06T2207/20012

Abstract: A graduated processing method of digital image is adapted to a digital camera for immediately adjusting brightness in different regions of a shot digital image. The processing method includes the following steps. An image capturing device determines an image boundary of a digital image according to an image difference condition in the digital image. Then, a graduated layer is used in the digital image along a vertical direction of the image boundary, and a brightness difference in different regions of the digital image is adjusted.

Abstract translation: 数字图像的分级处理方法适用于数码相机，用于立即调整拍摄数字图像的不同区域中的亮度。 处理方法包括以下步骤。 图像捕获装置根据数字图像中的图像差异条件来确定数字图像的图像边界。 然后，沿着图像边界的垂直方向在数字图像中使用刻度层，并且调整数字图像的不同区域中的亮度差。

公开(公告)号：US20130022236A1

公开(公告)日：2013-01-24

申请号：US13227119

申请日：2011-09-07

Applicant: Yin-Pin Chang ,  Wen-Yan Chang ,  Hong-Long Chou

Inventor： Yin-Pin Chang ,  Wen-Yan Chang ,  Hong-Long Chou

IPC: G06K9/00

CPC classification number: G06T7/77 ,  G06T2207/10024

Abstract: 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.

Abstract translation: 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

Applicant: Yin-Pin Chang ,  Wen-Yan Chang ,  Hong-Long Chou

Inventor： Yin-Pin Chang ,  Wen-Yan Chang ,  Hong-Long Chou

IPC: G06K9/00

CPC classification number: G06T7/248 ,  G06T2207/10024

Abstract: 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.

Abstract translation: 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：US20090169054A1

公开(公告)日：2009-07-02

申请号：US12344796

申请日：2008-12-29

Applicant: Yin-Pin CHANG ,  Tai-Chang YANG ,  Hong-Long CHOU

Inventor： Yin-Pin CHANG ,  Tai-Chang YANG ,  Hong-Long CHOU

IPC: G06K9/00

CPC classification number: G06K9/3233 ,  G06K9/00221

Abstract: 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.

Abstract translation: 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：US20080159643A1

公开(公告)日：2008-07-03

申请号：US11732249

申请日：2007-04-03

Applicant: Yu-Chen Huang ,  Yin-Pin Chang

Inventor： Yu-Chen Huang ,  Yin-Pin Chang

IPC: G06K9/40

CPC classification number: G06T5/002 ,  G06T2207/20012 ,  G06T2207/20028

Abstract: A method of reducing image noise is provided. In the method, during the process of reducing image noise by a bilateral filter, the image noise filtering intensity of a domain filter in the bilateral filter is adjusted according to whether a regional area of the image has a frame boundary, and the image noise filtering intensity of a range filter in the bilateral filter is adjusted through the intensity of a regional area, so as to improve the image noise reduction effect of the bilateral filter.

Abstract translation: 提供了降低图像噪声的方法。 在该方法中，在通过双边滤波器降低图像噪声的过程中，根据图像的区域是否具有帧边界来调整双边滤波器中的域滤波器的图像噪声滤波强度，并且图像噪声滤波 通过区域的强度调整双边滤波器中的范围滤波器的强度，从而提高双边滤波器的图像降噪效果。