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    Target detecting system and method
    11.
    发明申请
    Target detecting system and method 失效
    目标检测系统及方法

    公开(公告)号：US20060140481A1

    公开(公告)日：2006-06-29

    申请号：US11287936

    申请日：2005-11-28

    Applicant: Kye-Kyung Kim ,  Soo-Hyun Cho ,  Hye-Jin Kim ,  Jae-Yeon Lee

    Inventor： Kye-Kyung Kim ,  Soo-Hyun Cho ,  Hye-Jin Kim ,  Jae-Yeon Lee

    IPC: G06K9/46 ,  H04N5/228

    CPC classification number: H04N5/232 ,  G06K9/00362 ,  G06T7/246

    Abstract: A target detecting system and method for detecting a target from an input image is provided. According to the target detecting system and method, when a target is detected from an input image and there are moving areas in the input image, camera movement parameters are obtained, image frames are transformed, and movement candidate areas are extracted from the image frame and the previous input image frame. In addition, image feature information is extracted from the input image, and based on the movement candidate areas and the image feature information a shape of the target is extracted. Therefore, the target can be exactly and rapidly extracted and tracked.

    Abstract translation: 提供了一种从输入图像中检测目标的目标检测系统和方法。 根据目标检测系统和方法，当从输入图像检测到目标并且在输入图像中存在移动区域时，获得相机移动参数，变换图像帧，并且从图像帧中提取移动候选区域，并且 以前的输入图像帧。 此外，从输入图像中提取图像特征信息，并且基于移动候选区域和图像特征信息，提取目标的形状。 因此，可以准确，快速地提取和跟踪目标。

    Thermoplastic PVC foam composition
    12.
    发明授权
    Thermoplastic PVC foam composition 失效
    热塑性PVC泡沫组合物

    公开(公告)号：US5776993A

    公开(公告)日：1998-07-07

    申请号：US697948

    申请日：1996-09-03

    Applicant: Bong Sub Shin ,  Jae Yeon Lee ,  Dong Keun Kim ,  Seoun Jun Kim ,  Sung Ok Cho

    Inventor： Bong Sub Shin ,  Jae Yeon Lee ,  Dong Keun Kim ,  Seoun Jun Kim ,  Sung Ok Cho

    IPC: C08K5/00 ,  C08J9/00 ,  C08L7/00 ,  C08L9/00 ,  C08L19/00 ,  C08L21/00 ,  C08L23/08 ,  C08L27/06 ,  C08L31/04 ,  C08L51/00 ,  C08L51/04 ,  C08L75/00 ,  C08L75/04

    CPC classification number: C08J9/0061 ,  C08J2327/06 ,  C08J2421/00

    Abstract: This invention relates to a thermoplastic PVC foam composition and more particularly, to the thermoplastic PVC foam composition suitable for a shoe material, which is characterized by the following fabrication and advantages. Some plasticizer and additive are added to the PVC base, plasticized by dioctyl phthalate (hereinafter called as "DOP") or epoxide soybean oil (hereinafter called as "ESO") to obtain the thermoplastic PVC foam composition. Then, one type of compound, selected from rubber thermoplastic urethane compound (hereinafter called as "TPU") and ethylenevinyl acetate copolymer (hereinafter called as "EVA"), was added to the mixture for modification. The desired product, so formed, has recognized some advantages in that a) possible foaming by extruder and injector including heating press, b) the composition, so foamed, can be regenerated, c) the desired product is light due to its low specific gravity, and d) physical property, anti-slip, abrasion-resistance and adhesiveness with other materials are remarkable.

    Abstract translation: 本发明涉及热塑性PVC泡沫组合物，更具体地说，涉及适用于鞋材的热塑性PVC泡沫组合物，其特征在于以下制造和优点。 将一些增塑剂和添加剂加入到PVC基质中，由邻苯二甲酸二辛酯（以下称为“DOP”）或环氧化物大豆油（以下称为“ESO”）增塑，得到热塑性PVC泡沫组合物。 然后，向混合物中加入一种选自橡胶热塑性氨基甲酸酯化合物（以下称为“TPU”）和乙烯 - 乙酸乙烯酯共聚物（以下称为“EVA”）的化合物进行改性。 所形成的所需产品已经认识到一些优点，即a）通过挤出机和喷射器可能的发泡，包括加热压机，b）可以再生发泡的组合物，c）由于其比重低，所需产品是轻质的 ，d）物理性能，防滑，耐磨性和与其他材料的粘合性显着。

    System for recognizing disguised face using gabor feature and SVM classifier and method thereof
    13.
    发明授权
    System for recognizing disguised face using gabor feature and SVM classifier and method thereof 有权
    使用gabor特征和SVM分类器识别伪装脸的系统及其方法

    公开(公告)号：US08913798B2

    公开(公告)日：2014-12-16

    申请号：US13565022

    申请日：2012-08-02

    Applicant: Kye Kyung Kim ,  Jae Yeon Lee ,  Ho Sub Yoon ,  Jae Hong Kim ,  Joo Chan Sohn

    Inventor： Kye Kyung Kim ,  Jae Yeon Lee ,  Ho Sub Yoon ,  Jae Hong Kim ,  Joo Chan Sohn

    IPC: G06K9/00

    CPC classification number: G06K9/00 ,  G06K9/00288 ,  G06K9/00899

    Abstract: Disclosed are a system and a method for recognizing a disguised face using a Gabor feature and a support vector machine (SVM) classifier according to the present invention.The system for recognizing a disguised face includes: a graph generation means to generate a single standard face graph from a plurality of facial image samples; a support vector machine (SVM) learning means to determine an optimal classification plane for discriminating a disguised face from the plurality of facial image samples and disguised facial image samples; and a facial recognition means to determine whether an input facial image is disguised using the standard face graph and the optimal classification plane when the facial image to be recognized is input.

    Abstract translation: 公开了根据本发明的使用Gabor特征和支持向量机（SVM）分类器识别伪装脸部的系统和方法。 用于识别伪装脸部的系统包括：图形生成装置，用于从多个面部图像样本生成单个标准面部图形; 支持向量机（SVM）学习装置，用于确定用于从多个面部图像样本和伪装的面部图像样本中鉴别伪装的脸部的最佳分类平面; 以及面部识别装置，用于当要输入要识别的面部图像时，使用标准面图和最佳分类平面来确定输入面部图像是否伪装。

    SYSTEM FOR RECOGNIZING DISGUISED FACE USING GABOR FEATURE AND SVM CLASSIFIER AND METHOD THEREOF
    15.
    发明申请
    SYSTEM FOR RECOGNIZING DISGUISED FACE USING GABOR FEATURE AND SVM CLASSIFIER AND METHOD THEREOF 有权
    用于识别使用GABOR特征和SVM分类器的分辨率面的系统及其方法

    公开(公告)号：US20130163829A1

    公开(公告)日：2013-06-27

    申请号：US13565022

    申请日：2012-08-02

    Applicant: Kye Kyung KIM ,  Jae Yeon LEE ,  Ho Sub YOON ,  Jae Hong KIM ,  Joo Chan SOHN

    Inventor： Kye Kyung KIM ,  Jae Yeon LEE ,  Ho Sub YOON ,  Jae Hong KIM ,  Joo Chan SOHN

    IPC: G06K9/62

    CPC classification number: G06K9/00 ,  G06K9/00288 ,  G06K9/00899

    Abstract: Disclosed are a system and a method for recognizing a disguised face using a Gabor feature and a support vector machine (SVM) classifier according to the present invention.The system for recognizing a disguised face includes: a graph generation means to generate a single standard face graph from a plurality of facial image samples; a support vector machine (SVM) learning means to determine an optimal classification plane for discriminating a disguised face from the plurality of facial image samples and disguised facial image samples; and a facial recognition means to determine whether an input facial image is disguised using the standard face graph and the optimal classification plane when the facial image to be recognized is input.

    Abstract translation: 公开了根据本发明的使用Gabor特征和支持向量机（SVM）分类器识别伪装脸部的系统和方法。 用于识别伪装脸部的系统包括：图形生成装置，用于从多个面部图像样本生成单个标准面部图形; 支持向量机（SVM）学习装置，用于确定用于从多个面部图像样本和伪装的面部图像样本中鉴别伪装的脸部的最佳分类平面; 以及面部识别装置，用于当要输入要识别的面部图像时，使用标准面图和最佳分类平面来确定输入面部图像是否伪装。

    APPARATUS AND METHOD FOR RECOGNIZING IDENTIFIER OF VEHICLE
    19.
    发明申请
    APPARATUS AND METHOD FOR RECOGNIZING IDENTIFIER OF VEHICLE 有权
    用于识别车辆识别器的装置和方法

    公开(公告)号：US20120057756A1

    公开(公告)日：2012-03-08

    申请号：US13224178

    申请日：2011-09-01

    Applicant: Ho Sub YOON ,  Kyu Dae BAN ,  Young Woo YOON ,  Woo Han YUN ,  Do Hyung KIM ,  Jae Yeon LEE ,  Jae Hong KIM ,  Su Young CHI ,  Joo Chan SOHN

    Inventor： Ho Sub YOON ,  Kyu Dae BAN ,  Young Woo YOON ,  Woo Han YUN ,  Do Hyung KIM ,  Jae Yeon LEE ,  Jae Hong KIM ,  Su Young CHI ,  Joo Chan SOHN

    IPC: G06K9/00

    CPC classification number: G06K9/6256 ,  G06K9/3258

    Abstract: The present invention detects a candidate ROI group associated with character strings/figure strings on the basis of a result acquired through prior learning of various types of license plates, verifies the interested region candidate group detected by using at least one condition of five predetermined conditions, and determines an MBR region in the selected ROI region from the verified interested region candidate group by considering a ratio between the height and width of the ROI region to recognize the license plate for the automobile. According to the present invention, it is possible to automatically detect the location of the license plate regardless of various types of license plate specifications defined for each of countries.

    Abstract translation: 本发明基于通过先前学习各种类型的车牌而获得的结果检测与字符串/图形串相关联的候选ROI组，通过使用五个预定条件的至少一个条件来检验感兴趣区域候选组， 并且通过考虑ROI区域的高度和宽度之间的比率来识别汽车的车牌，从所验证的感兴趣区域候选组中确定所选择的ROI区域中的MBR区域。 根据本发明，无论为每个国家定义的各种类型的车牌规格如何，都可以自动检测车牌的位置。

    System and method for verifying face of user using light mask
    20.
    发明授权
    System and method for verifying face of user using light mask 有权
    使用光罩验证用户面部的系统和方法

    公开(公告)号：US08116538B2

    公开(公告)日：2012-02-14

    申请号：US12115905

    申请日：2008-05-06

    Applicant: Hyun-Soo Kim ,  Je-Han Yoon ,  Ji-Hyo Lee ,  Jae-Yeon Lee ,  Su-Young Chi ,  Woo-Han Yun

    Inventor： Hyun-Soo Kim ,  Je-Han Yoon ,  Ji-Hyo Lee ,  Jae-Yeon Lee ,  Su-Young Chi ,  Woo-Han Yun

    IPC: G06K9/00 ,  G06K9/62 ,  G06K9/46 ,  G06F21/00

    CPC classification number: G06K9/00275 ,  G06K9/00288 ,  G06K9/6255 ,  G06K9/6277

    Abstract: A system and method for verifying the face of a user using a light mask are provided. The system includes a facial feature extraction unit for extracting a facial feature vector from a facial image received from a camera. A non-user Gaussian Mixture Model (GMM) configuration unit generates a non-user GMM from a facial image stored in a non-user database (DB). A user GMM configuration unit generates a user GMM by applying light masks to a facial image stored in a user DB. A log-likelihood value calculation unit inputs the facial feature vector both to the non-user GMM and to the user GMM, thus calculating log-likelihood values. A user verification unit compares the calculated log-likelihood values with a predetermined threshold, thus verifying whether the received facial image is a facial image of the user.

    Abstract translation: 提供了一种用于使用光掩模验证用户的脸部的系统和方法。 该系统包括面部特征提取单元，用于从从相机接收的面部图像中提取面部特征向量。 非用户高斯混合模型（GMM）配置单元从存储在非用户数据库（DB）中的面部图像生成非用户GMM。 用户GMM配置单元通过将光掩模应用于存储在用户DB中的面部图像来生成用户GMM。 对数似然值计算单元将面部特征向量输入到非用户GMM和用户GMM，从而计算对数似然值。 用户验证单元将所计算的对数似然值与预定阈值进行比较，从而验证所接收的面部图像是否是用户的面部图像。

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