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    • 1. 发明申请
    • Pan/tilt method and apparatus for camera
    • 摇摄/倾斜方法和相机装置
    • US20100171851A1
    • 2010-07-08
    • US12655728
    • 2010-01-06
    • Je-Han YoonKwang-Choon KimYoung-Hee Park
    • Je-Han YoonKwang-Choon KimYoung-Hee Park
    • H04N5/262H04N5/228
    • H04N5/232H04N5/23238
    • A camera pan/tilt method includes receiving an input pan/tilt command. The method also includes determining whether the angle to be moved according to the input pan/tilt command is larger than the minimum angle for allowing pan/tilt to be executed by a hardware pan/tilt method. A hardware pan/tilt is executed according to the input pan/tilt command if it is determined that the angle to be moved according to the input pan/tilt command is larger than the minimum angle for allowing pan/tilt to be executed by the hardware pan/tilt method. A digital pan/tilt is executed according to the input pan/tilt command if it is determined that the angle to be moved according to the input pan/tilt command is not larger than the minimum angle for allowing pan/tilt to be executed by the hardware pan/tilt method.
    • 摄像机摇摄/倾斜方法包括接收输入摇摄/倾斜命令。 该方法还包括确定根据输入摇摄/倾斜命令要移动的角度是否大于通过硬件摇摄/倾斜方法执行摇摄/倾斜的最小角度。 如果确定根据输入摇摄/倾斜命令要移动的角度大于允许由硬件执行摇摄/俯仰的最小角度,则根据输入的摇摄/倾斜命令执行硬件摇摄/倾斜 摇摄/倾斜方式。 如果根据输入摇摄/倾斜命令确定要移动的角度不大于允许由/或/或/或/或/ 硬件摇摄/倾斜方式。
    • 3. 发明授权
    • Face recognition system and method based on adaptive learning
    • 基于自适应学习的人脸识别系统和方法
    • US08135220B2
    • 2012-03-13
    • US12115250
    • 2008-05-05
    • Hyun-Soo KimJe-Han YoonHyun-Sik ShimYoung-Hee ParkDo-Hyung KimWoo-Han Yun
    • Hyun-Soo KimJe-Han YoonHyun-Sik ShimYoung-Hee ParkDo-Hyung KimWoo-Han Yun
    • G06K9/62G06K9/00
    • G06K9/00295
    • A face recognition system based on adaptive learning includes a specific person detection and tracking unit for detecting and tracking a specific person from a moving image. A facial feature extraction unit extracts a plurality of facial feature vectors from the detected and tracked specific person. A face recognition unit searches for a given registration model by comparing the extracted facial feature vectors with facial feature vectors of the registration models previously stored in a user registration model database. A learning target selection unit selects a facial feature vector to be added to a record of the given registration model from among the extracted facial feature vectors. A registration model learning unit adds and updates the selected facial feature vector to the record of the given registration model.
    • 基于自适应学习的面部识别系统包括用于从运动图像中检测和跟踪特定人物的特定人物检测和跟踪单元。 面部特征提取单元从检测到和跟踪的特定人物中提取多个面部特征向量。 面部识别单元通过将提取的面部特征向量与先前存储在用户登记模型数据库中的登记模型的面部特征向量进行比较来搜索给定的登记模型。 学习目标选择单元从所提取的面部特征向量中选择要添加到给定登记模型的记录的面部特征向量。 注册模型学习单元将所选择的面部特征向量添加并更新到给定注册模型的记录。
    • 8. 发明申请
    • FACE RECOGNITION SYSTEM AND METHOD BASED ON ADAPTIVE LEARNING
    • 基于自适应学习的面部识别系统和方法
    • US20080273766A1
    • 2008-11-06
    • US12115250
    • 2008-05-05
    • Hyun-Soo KimJe-Han YoonHyun-Sik ShimYoung-Hee ParkDo-Hyung KimWoo-Han Yun
    • Hyun-Soo KimJe-Han YoonHyun-Sik ShimYoung-Hee ParkDo-Hyung KimWoo-Han Yun
    • G06K9/00
    • G06K9/00295
    • A face recognition system based on adaptive learning includes a specific person detection and tracking unit for detecting and tracking a specific person from a moving image. A facial feature extraction unit extracts a plurality of facial feature vectors from the detected and tracked specific person. A face recognition unit searches for a given registration model by comparing the extracted facial feature vectors with facial feature vectors of the registration models previously stored in a user registration model database. A learning target selection unit selects a facial feature vector to be added to a record of the given registration model from among the extracted facial feature vectors. A registration model learning unit adds and updates the selected facial feature vector to the record of the given registration model.
    • 基于自适应学习的面部识别系统包括用于从运动图像中检测和跟踪特定人物的特定人物检测和跟踪单元。 面部特征提取单元从检测到和跟踪的特定人物中提取多个面部特征向量。 面部识别单元通过将提取的面部特征向量与先前存储在用户登记模型数据库中的登记模型的面部特征向量进行比较来搜索给定的登记模型。 学习目标选择单元从所提取的面部特征向量中选择要添加到给定登记模型的记录的面部特征向量。 注册模型学习单元将所选择的面部特征向量添加并更新到给定注册模型的记录。