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1. 发明授权

US09129154B2 Gesture recognition apparatus, robot system including the same and gesture recognition method using the same 有权
标题翻译：手势识别装置，包括相同的机器人系统和使用其的手势识别方法
公开(公告)号：US09129154B2
公开(公告)日：2015-09-08
申请号：US12638302
申请日：2009-12-15
申请人： Do Hyung Kim , Jae Yeon Lee , Woo Han Yun , Su Young Chi , Ho Sub Yoon , Hye Jin Kim , Young Woo Yoon
发明人： Do Hyung Kim , Jae Yeon Lee , Woo Han Yun , Su Young Chi , Ho Sub Yoon , Hye Jin Kim , Young Woo Yoon
IPC分类号： H04N7/18 , G06K9/00
CPC分类号： G06K9/00355
摘要： Provided is a gesture recognition apparatus. The gesture recognition apparatus includes a human detection unit, a gesture region setting region, an arm detection unit and a gesture determination unit. The human detection unit detects a face region of a user from an input image. The gesture region setting unit sets a gesture region, in which a gesture of the user's arm occurs, with respect to the detected face region. The arm detection unit detects an arm region of the user in the gesture region. The gesture determination unit analyzes a position, moving directionality and shape information of the arm region in the gesture region to determine a target gesture of the user. Such a gesture recognition apparatus may be used as a useful means for a human-robot interaction in a long distance where a robot has difficulty in recognizing a user's voice.
摘要翻译：提供了一种手势识别装置。手势识别装置包括人体检测单元，手势区域设定区域，手臂检测单元和手势判定单元。人体检测单元从输入图像检测用户的脸部区域。手势区域设定单元相对于检测到的脸部区域设定手势区域，在手势区域中发生用户手臂的手势。手臂检测单元在手势区域中检测用户的手臂区域。手势确定单元分析手势区域中的手臂区域的位置，移动方向性和形状信息，以确定用户的目标手势。这样的手势识别装置可以用作机器人难以识别用户的语音的长距离人机交互的有用手段。

2. 发明申请

US20110001813A1 GESTURE RECOGNITION APPARATUS, ROBOT SYSTEM INCLUDING THE SAME AND GESTURE RECOGNITION METHOD USING THE SAME 有权
标题翻译：识别装置，包括其的机器人系统和使用其的姿势识别方法
公开(公告)号：US20110001813A1
公开(公告)日：2011-01-06
申请号：US12638302
申请日：2009-12-15
申请人： Do Hyung KIM , Jae Yeon Lee , Woo Han Yun , Su Young Chi , Ho Sub Yoon , Hye Jin Kim , Young Woo Yoon
发明人： Do Hyung KIM , Jae Yeon Lee , Woo Han Yun , Su Young Chi , Ho Sub Yoon , Hye Jin Kim , Young Woo Yoon
IPC分类号： H04N7/18 , G06K9/46 , G06K9/00
CPC分类号： G06K9/00355
摘要： Provided is a gesture recognition apparatus. The gesture recognition apparatus includes a human detection unit, a gesture region setting region, an arm detection unit and a gesture determination unit. The human detection unit detects a face region of a user from an input image. The gesture region setting unit sets a gesture region, in which a gesture of the user's arm occurs, with respect to the detected face region. The arm detection unit detects an arm region of the user in the gesture region. The gesture determination unit analyzes a position, moving directionality and shape information of the arm region in the gesture region to determine a target gesture of the user. Such a gesture recognition apparatus may be used as a useful means for a human-robot interaction in a long distance where a robot has difficulty in recognizing a user's voice.
摘要翻译：提供了一种手势识别装置。手势识别装置包括人体检测单元，手势区域设定区域，手臂检测单元和手势判定单元。人体检测单元从输入图像检测用户的脸部区域。手势区域设定单元相对于检测到的脸部区域设定手势区域，在手势区域中发生用户手臂的手势。手臂检测单元在手势区域中检测用户的手臂区域。手势确定单元分析手势区域中的手臂区域的位置，移动方向性和形状信息，以确定用户的目标手势。这样的手势识别装置可以用作机器人难以识别用户的语音的长距离人机交互的有用手段。

3. 发明授权

US08548201B2 Apparatus and method for recognizing identifier of vehicle 有权
标题翻译：用于识别车辆识别符的装置和方法
公开(公告)号：US08548201B2
公开(公告)日：2013-10-01
申请号：US13224178
申请日：2011-09-01
申请人： 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
发明人： 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分类号： G06K9/00
CPC分类号： G06K9/6256 , G06K9/3258
摘要： 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.
摘要翻译：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。

4. 发明申请

US20120051594A1 METHOD AND DEVICE FOR TRACKING MULTIPLE OBJECTS 审中-公开
标题翻译：跟踪多个对象的方法和设备
公开(公告)号：US20120051594A1
公开(公告)日：2012-03-01
申请号：US13215797
申请日：2011-08-23
申请人： Do Hyung Kim , Jae Yeon Lee , Woo Han Yun
发明人： Do Hyung Kim , Jae Yeon Lee , Woo Han Yun
IPC分类号： G06K9/00
CPC分类号： G06K9/00771 , G06T7/246 , G06T2207/10024 , G06T2207/30196
摘要： Disclosed are a method and a device for tracking multiple objects. In the object tracking method, when a plurality of objects are overlapped and thereafter, separated from each other again, color information of the objects, size information of the objects, and shape information of the objects are combined and used in order to maintain tracking consistency in which non-overlapped persons and separated persons coincide with each other. Therefore, while tracking the plurality of objects, each object can be stably tracked even under an environment in which moving objects are overlapped with each other.
摘要翻译：公开了一种用于跟踪多个物体的方法和装置。在对象跟踪方法中，当多个对象重叠并且之后再次彼此分离时，组合并使用对象的颜色信息，对象的大小信息和形状信息，以便维持跟踪一致性不重叠的人和分离的人相互重合。因此，在跟踪多个物体的同时，即使在运动物体彼此重叠的环境下也能够稳定地追踪各物体。

5. 发明申请

US20080279426A1 SYSTEM AND METHOD FOR VERIFYING FACE OF USER USING LIGHT MASK 有权
标题翻译：使用光罩验证用户面部的系统和方法
公开(公告)号：US20080279426A1
公开(公告)日：2008-11-13
申请号：US12115905
申请日：2008-05-06
申请人： Hyun-Soo KIM , Je-Han Yoon , Ji-Hyo Lee , Jae-Yeon Lee , Su-Young Chi , Woo-Han Yun
发明人： Hyun-Soo KIM , Je-Han Yoon , Ji-Hyo Lee , Jae-Yeon Lee , Su-Young Chi , Woo-Han Yun
IPC分类号： G06K9/00
CPC分类号： G06K9/00275 , G06K9/00288 , G06K9/6255 , G06K9/6277
摘要： 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.
摘要翻译：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。

6. 发明授权

US09280703B2 Apparatus and method for tracking hand 有权
标题翻译：用于跟踪手的装置和方法
公开(公告)号：US09280703B2
公开(公告)日：2016-03-08
申请号：US13596523
申请日：2012-08-28
申请人： Woo Han Yun , Jae Yeon Lee , Do Hyung Kim , Jae Hong Kim , Joo Chan Sohn
发明人： Woo Han Yun , Jae Yeon Lee , Do Hyung Kim , Jae Hong Kim , Joo Chan Sohn
IPC分类号： G06K9/00
CPC分类号： G06K9/00355
摘要： Disclosed are an apparatus for tracking a location of a hand, includes: a skin color image detector for detecting a skin color region from an image input from an image device using a predetermined skin color of a user; a face tracker for tracking a face using the detected skin color image; a motion detector for setting a ROI using location information of the tracked face, and detecting a motion image from the set ROI; a candidate region extractor for extracting a candidate region with respect to a hand of the user using the skin color image detected by the skin color image detector and the motion image detected by the motion detector; and a hand tracker for tracking a location of the hand in the extracted candidate region to find out a final location of the hand.
摘要翻译：公开了一种用于跟踪手的位置的装置，包括：皮肤彩色图像检测器，用于使用用户的预定皮肤颜色从图像设备输入的图像中检测皮肤颜色区域; 面部跟踪器，用于使用检测到的肤色图像跟踪脸部; 运动检测器，用于使用所跟踪的面部的位置信息来设置ROI，以及从所设置的ROI检测运动图像; 候选区域提取器，用于使用由肤色图像检测器检测到的肤色图像和由运动检测器检测的运动图像提取相对于用户的手的候选区域; 以及用于跟踪所提取的候选区域中的手的位置以找出手的最终位置的手跟踪器。

7. 发明授权

US09008440B2 Component recognizing apparatus and component recognizing method 有权
标题翻译：元件识别装置和元件识别方法
公开(公告)号：US09008440B2
公开(公告)日：2015-04-14
申请号：US13545629
申请日：2012-07-10
申请人： Kye Kyung Kim , Woo Han Yun , Hye Jin Kim , Su Young Chi , Jae Yeon Lee , Mun Sung Han , Jae Hong Kim , Joo Chan Sohn
发明人： Kye Kyung Kim , Woo Han Yun , Hye Jin Kim , Su Young Chi , Jae Yeon Lee , Mun Sung Han , Jae Hong Kim , Joo Chan Sohn
IPC分类号： G06K9/48 , G06K9/62 , G06K9/00 , G06T7/00
CPC分类号： G06K9/00 , G06K2209/19 , G06T7/12 , G06T7/74 , G06T2207/30164
摘要： Disclosed are a component recognizing apparatus and a component recognizing method. The component recognizing apparatus includes: an image preprocessing unit configured to extract component edges from an input component image by using a plurality of edge detecting techniques, and detect a component region by using the extracted component edges; a feature extracting unit configured to extract a component feature from the detected component region, and create a feature vector by using the component feature; and a component recognizing unit configured to input the created feature vector to an artificial neural network which has learned in advance to recognize a component category through a plurality of component image samples, and recognize the component category according to a result.
摘要翻译：公开了一种部件识别装置和部件识别方法。该分量识别装置包括：图像预处理单元，被配置为通过使用多个边缘检测技术从输入分量图像中提取分量边缘，并且通过使用所提取的分量边缘来检测分量区域; 特征提取单元，被配置为从检测到的分量区域中提取分量特征，并通过使用分量特征来创建特征向量; 以及分量识别单元，被配置为将所创建的特征向量输入到通过多个分量图像样本预先学习识别分量类别的人造神经网络，并根据结果识别组件类别。

8. 发明申请

US20130177204A1 APPARATUS AND METHOD FOR TRACKING HAND 有权
标题翻译：跟踪手段和方法
公开(公告)号：US20130177204A1
公开(公告)日：2013-07-11
申请号：US13596523
申请日：2012-08-28
申请人： Woo Han YUN , Jae Yeon Lee , Do Hyung Kim , Jae Hong Kim , Joo Chan Sohn
发明人： Woo Han YUN , Jae Yeon Lee , Do Hyung Kim , Jae Hong Kim , Joo Chan Sohn
IPC分类号： G06K9/62
CPC分类号： G06K9/00355
摘要： Disclosed are an apparatus for tracking a location of a hand, includes: a skin color image detector for detecting a skin color region from an image input from an image device using a predetermined skin color of a user; a face tracker for tracking a face using the detected skin color image; a motion detector for setting a ROI using location information of the tracked face, and detecting a motion image from the set ROI; a candidate region extractor for extracting a candidate region with respect to a hand of the user using the skin color image detected by the skin color image detector and the motion image detected by the motion detector; and a hand tracker for tracking a location of the hand in the extracted candidate region to find out a final location of the hand.
摘要翻译：公开了一种用于跟踪手的位置的装置，包括：皮肤彩色图像检测器，用于使用用户的预定皮肤颜色从图像设备输入的图像中检测皮肤颜色区域; 面部跟踪器，用于使用检测到的肤色图像跟踪脸部; 运动检测器，用于使用所跟踪的面部的位置信息来设置ROI，以及从所设置的ROI检测运动图像; 候选区域提取器，用于使用由肤色图像检测器检测到的肤色图像和由运动检测器检测的运动图像提取相对于用户的手的候选区域; 以及用于跟踪所提取的候选区域中的手的位置以找出手的最终位置的手跟踪器。

9. 发明申请

US20130163858A1 COMPONENT RECOGNIZING APPARATUS AND COMPONENT RECOGNIZING METHOD 有权
标题翻译：组件识别装置和组件识别方法
公开(公告)号：US20130163858A1
公开(公告)日：2013-06-27
申请号：US13545629
申请日：2012-07-10
申请人： Kye Kyung KIM , Woo Han YUN , Hye Jin KIM , Su Young CHI , Jae Yeon LEE , Mun Sung HAN , Jae Hong KIM , Joo Chan SOHN
发明人： Kye Kyung KIM , Woo Han YUN , Hye Jin KIM , Su Young CHI , Jae Yeon LEE , Mun Sung HAN , Jae Hong KIM , Joo Chan SOHN
IPC分类号： G06K9/62
CPC分类号： G06K9/00 , G06K2209/19 , G06T7/12 , G06T7/74 , G06T2207/30164
摘要： Disclosed are a component recognizing apparatus and a component recognizing method. The component recognizing apparatus includes: an image preprocessing unit configured to extract component edges from an input component image by using a plurality of edge detecting techniques, and detect a component region by using the extracted component edges; a feature extracting unit configured to extract a component feature from the detected component region, and create a feature vector by using the component feature; and a component recognizing unit configured to input the created feature vector to an artificial neural network which has learned in advance to recognize a component category through a plurality of component image samples, and recognize the component category according to a result.
摘要翻译：公开了一种部件识别装置和部件识别方法。该分量识别装置包括：图像预处理单元，被配置为通过使用多个边缘检测技术从输入分量图像中提取分量边缘，并且通过使用所提取的分量边缘来检测分量区域; 特征提取单元，被配置为从检测到的分量区域中提取分量特征，并通过使用分量特征来创建特征向量; 以及分量识别单元，被配置为将所创建的特征向量输入到通过多个分量图像样本预先学习识别分量类别的人造神经网络，并根据结果识别组件类别。

10. 发明授权

US08135220B2 Face recognition system and method based on adaptive learning 有权
标题翻译：基于自适应学习的人脸识别系统和方法
公开(公告)号：US08135220B2
公开(公告)日：2012-03-13
申请号：US12115250
申请日：2008-05-05
申请人： Hyun-Soo Kim , Je-Han Yoon , Hyun-Sik Shim , Young-Hee Park , Do-Hyung Kim , Woo-Han Yun
发明人： Hyun-Soo Kim , Je-Han Yoon , Hyun-Sik Shim , Young-Hee Park , Do-Hyung Kim , Woo-Han Yun
IPC分类号： G06K9/62 , G06K9/00
CPC分类号： G06K9/00295
摘要： 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.
摘要翻译：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。

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