FACE DETECTION AND TRACKING METHOD
    1.
    发明申请
    FACE DETECTION AND TRACKING METHOD 审中-公开
    脸部检测和跟踪方法

    公开(公告)号:US20090169067A1

    公开(公告)日:2009-07-02

    申请号:US12344813

    申请日:2008-12-29

    IPC分类号: G06K9/00

    CPC分类号: G06K9/00295

    摘要: 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.

    摘要翻译: 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。

    METHOD OF ADJUSTING SELECTED WINDOW SIZE OF IMAGE OBJECT
    2.
    发明申请
    METHOD OF ADJUSTING SELECTED WINDOW SIZE OF IMAGE OBJECT 有权
    调整选择的图像对象的窗口大小的方法

    公开(公告)号:US20090169054A1

    公开(公告)日:2009-07-02

    申请号:US12344796

    申请日:2008-12-29

    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。

    HIERARCHICAL FACE RECOGNITION TRAINING METHOD AND HIERARCHICAL FACE RECOGNITION METHOD THEREOF
    3.
    发明申请
    HIERARCHICAL FACE RECOGNITION TRAINING METHOD AND HIERARCHICAL FACE RECOGNITION METHOD THEREOF 有权
    分层面识别训练方法及其分层识别方法

    公开(公告)号:US20100074479A1

    公开(公告)日:2010-03-25

    申请号:US12350378

    申请日:2009-01-08

    IPC分类号: G06K9/00

    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。

    MULTIDIRECTONAL FACE DETECTION METHOD
    4.
    发明申请
    MULTIDIRECTONAL FACE DETECTION METHOD 有权
    多方面检测方法

    公开(公告)号:US20090169066A1

    公开(公告)日:2009-07-02

    申请号:US12328891

    申请日:2008-12-05

    IPC分类号: G06K9/00

    CPC分类号: G06K9/00228

    摘要: A multidirectional face detection method is used to detect 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 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. A profile detection performs to respectively mark the facial-boundaries in the sub-image patterns with a 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检测在不同位置检测到的图像中的脸部。 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。 面部重量计算,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 轮廓检测执行分别用具有面部边界的子图像图案的弧段分别标记子图像图案中的面部边界。

    IMAGE PROCESSING METHOD FOR ADJUSTING A SCALE OF A FACE
    5.
    发明申请
    IMAGE PROCESSING METHOD FOR ADJUSTING A SCALE OF A FACE 审中-公开
    用于调整脸部鳞片的图像处理方法

    公开(公告)号:US20090167900A1

    公开(公告)日:2009-07-02

    申请号:US12344783

    申请日:2008-12-29

    IPC分类号: H04N5/262

    CPC分类号: H04N5/2628 G06T3/403

    摘要: An image processing method for adjusting a scale of a face is implemented by a microprocessor of a digital camera. The microprocessor performs a face detection to find the position of a face in the image, and sets a zoom block according to an entire column/row of the position of the face, so as to zoom in/out the scale of the face. When the scale of the face is adjusted, an entire column of pixels are added/deleted with constrain proportions from two sides of the zoom block, for repairing the pixels altered during the zoom in/out of the face so as to remain the whole image undistorted. This method finds the position of the face accurately, and adjusts the pixels at the position of the face, so as to effectively adjust the scale of the face, and avoid disproportion between the face and the body in the image.

    摘要翻译: 用于调节脸部的刻度的图像处理方法由数字照相机的微处理器实现。 微处理器执行面部检测以找到图像中的脸部的位置,并且根据脸部位置的整个列/列来设置缩放块,以便放大/缩小脸部的比例。 当调整脸部的比例时,以缩放块两侧的约束比例添加/删除整列像素,以修复在放大/缩小脸部期间改变的像素,以保持整个图像 无失真 该方法精确地找到脸部的位置,并且调整脸部位置处的像素,以有效地调节面部的比例,并避免图像中脸部和身体之间的不成比例。

    IMAGE CAPTURING DEVICE AND METHOD THEREOF AND HUMAN RECOGNITION PHOTOGRAPH SYSTEM
    6.
    发明申请
    IMAGE CAPTURING DEVICE AND METHOD THEREOF AND HUMAN RECOGNITION PHOTOGRAPH SYSTEM 审中-公开
    图像捕获设备及其方法和人类识别摄影系统

    公开(公告)号:US20130235227A1

    公开(公告)日:2013-09-12

    申请号:US13461328

    申请日:2012-05-01

    IPC分类号: H04N5/228

    CPC分类号: H04N5/23219

    摘要: This invention discloses an image capturing device, an image capturing method, and a human recognition photograph system. The image capturing device comprises: a capturing module sensing an image; a human detecting module detecting the number of at least one person in an image generating detecting signal; a face recognition module generates recognition signal by recognizing a face condition of the at least one person in the image; and a processing module that receives detecting signal and recognition signal and calculates the number of at least one person and face condition value according to the detecting signal and the recognition signal respectively. The processing module determines whether the number of at least one person and face condition value correspond to a predetermined number and a predetermined face condition value respectively; if so, generating an image capturing signal to control the capturing module to capture image and generate image data.

    摘要翻译: 本发明公开了一种图像拍摄装置,图像拍摄方法和人类识别照片系统。 该摄像装置包括:感测图像的拍摄模块; 检测图像生成检测信号中的至少一个人的人数的人体检测模块; 面部识别模块通过识别图像中的至少一个人的面部状况来生成识别信号; 以及处理模块,其分别接收检测信号和识别信号,并分别根据检测信号和识别信号计算至少一个人的人数和面部状况值。 处理模块分别确定至少一个人的人数和面部状况值是否分别对应于预定数量和预定面部条件值; 如果是,则生成图像捕获信号以控制拍摄模块以捕获图像并生成图像数据。