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    • 1. 发明申请
    • Template-based face detection method
    • 基于模板的人脸检测方法
    • US20060104517A1
    • 2006-05-18
    • US11262842
    • 2005-11-01
    • Byoung-Chul KoJong-Chang LeeHyun-Sik Shim
    • Byoung-Chul KoJong-Chang LeeHyun-Sik Shim
    • G06K9/62G06K9/36
    • G06K9/00228
    • A template-based face detection method includes: producing an average face image from a face database, wavelet-converting the produced face image, and removing a low frequency component of high and low frequency components of the converted image, the low frequency component being sensitive to illumination; producing a face template with only high horizontal and vertical frequency components of the high frequency components; and retrieving an initial face position using the face template when an image is inputted, and detecting the face in a next frame by using, as a face template for the next frame, a template obtained by linearly combining the face template with a high frequency wavelet coefficient corresponding to the position of the face in a current frame. Thus, the method has a shortened calculation time for face detection, and can accurately detect a face irrespective of skin color and illumination.
    • 基于模板的人脸检测方法包括:从面部数据库产生平均脸部图像,对产生的面部图像进行小波变换,以及去除转换图像的高频和低频分量的低频分量,低频分量敏感 照明; 产生仅具有高频分量的高水平和垂直频率分量的面模板; 以及当输入图像时使用面部模板检索初始面部位置,并且通过使用作为下一帧的面部模板来检测下一帧中的脸部,通过将面部模板与高频小波线性组合而获得的模板 对应于当前帧中的脸部位置的系数。 因此,该方法具有缩短的脸部检测的计算时间,并且可以准确地检测脸部,而与肤色和照明无关。
    • 2. 发明申请
    • Apparatus and method for distinguishing between camera movement and object movement and extracting object in a video surveillance system
    • 用于区分摄像机移动和物体移动以及在视频监控系统中提取物体的装置和方法
    • US20060133785A1
    • 2006-06-22
    • US11262755
    • 2005-11-01
    • Byoung-Chul KoBo-Hyun Kang
    • Byoung-Chul KoBo-Hyun Kang
    • G03B17/00
    • G06T7/20
    • The invention relates to an apparatus and a method for distinguishing between camera movement and object movement, and for extracting an object in a video surveillance system for detecting an invader based upon object movement. The apparatus and method distinguish actual invader detection owing to object movement from erroneous invader detection owing to a camera's movement or shaking. In the case of actual invader detection owing to object movement, a corresponding object is extracted. In this way, optical flow is obtained from an input dynamic image, and is converted into angle values and classified. If an angle value exceeds a predetermined critical value, it is determined that object movement is detected. If the angle value does not exceed the predetermined critical value, it is determined that camera movement or shaking is detected. In the case of object movement, only an area of movement is extracted from an object via X-Y projection with respect to optical flow of an object, and then the object is divided. This is carried out in consecutive frames to track a passage of the moving object.
    • 本发明涉及用于区分相机移动和物体移动的装置和方法,并且用于在视频监视系统中提取基于物体移动来检测侵略者的物体。 该装置和方法由于摄像机的移动或抖动而由于物体从错误的入侵者检测中移动而区分实际的入侵者检测。 在由于物体运动而进行的实际入侵者检测的情况下,提取出相应的物体。 以这种方式,从输入动态图像获得光流,并将其转换成角度值并进行分类。 如果角度值超过预定临界值,则确定检测到物体移动。 如果角度值不超过预定临界值,则确定检测到照相机移动或抖动。 在物体移动的情况下,相对于物体的光流,经由相对于物体的光流的X-Y投影,从物体中仅提取移动区域,然后被划分。 这在连续的帧中进行以跟踪移动物体的通过。
    • 5. 发明授权
    • Apparatus and method for detecting a face
    • 用于检测脸部的装置和方法
    • US07929771B2
    • 2011-04-19
    • US11497752
    • 2006-08-02
    • Byoung-Chul KoKwang-Choon KimSeung-Hyun Baek
    • Byoung-Chul KoKwang-Choon KimSeung-Hyun Baek
    • G06K9/46
    • G06K9/00234
    • Disclosed is an apparatus and method for detecting a face from an image. The apparatus and method uses color components and enables a Support Vector Machine (SVM) having superior recognition performance to previously learn face and non-face images and determine whether an image is a face image based on a learned image database by reducing the size of a feature vector of a face as compared to conventional systems. Accordingly, the apparatus converts a face image into a mosaic image having a minimum size to reduce the dimension of the feature vector, in order to rapidly and correctly detect a face image.
    • 公开了一种用于从图像中检测面部的装置和方法。 该装置和方法使用颜色分量,并且使得具有优异识别性能的支持向量机(SVM)能够预先学习面部和非脸部图像,并且基于学习图像数据库来确定图像是否是面部图像, 与常规系统相比,脸部特征向量。 因此,为了快速且正确地检测面部图像,该装置将面部图像转换为具有最小尺寸的马赛克图像以减小特征向量的尺寸。