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1. 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。

2. 发明授权

US08705814B2 Apparatus and method for detecting upper body 有权
标题翻译：检测上身的装置及方法
公开(公告)号：US08705814B2
公开(公告)日：2014-04-22
申请号：US13332879
申请日：2011-12-21
申请人： Woo Han Yun , Do Hyung Kim , Jae Yeon Lee , Kyu Dae Ban , Dae Ha Lee , Mun Sung Han , Ho Sub Yoon , Su Young Chi , Yun Koo Chung , Joo Chan Sohn , Hye Jin Kim , Young Woo Yoon , Jae Hong Kim , Jae Il Cho
发明人： Woo Han Yun , Do Hyung Kim , Jae Yeon Lee , Kyu Dae Ban , Dae Ha Lee , Mun Sung Han , Ho Sub Yoon , Su Young Chi , Yun Koo Chung , Joo Chan Sohn , Hye Jin Kim , Young Woo Yoon , Jae Hong Kim , Jae Il Cho
IPC分类号： G06K9/00
CPC分类号： G06K9/00362
摘要： Disclosed is a method of detecting an upper body. The method includes detecting an omega candidate area including a shape formed of a face and a shoulder line of a human from a target image, cutting the target image into the upper body candidate area including the omega candidate area, detecting a human face from the upper body candidate area, and judging whether the upper body of the human is included in the target image according to the result of detecting the human face.
摘要翻译：公开了一种检测上身的方法。该方法包括从目标图像中检测包括人脸的形状和肩部线的形状的欧米茄候选区域，将目标图像切割成包括欧米茄候选区域的上身候选区域，从上层检测人脸根据检测人脸的结果来判断人的上半身是否包含在目标图像中。

3. 发明申请

US20120166190A1 APPARATUS FOR REMOVING NOISE FOR SOUND/VOICE RECOGNITION AND METHOD THEREOF 审中-公开
标题翻译：用于移除声音/语音识别的噪声的装置及其方法
公开(公告)号：US20120166190A1
公开(公告)日：2012-06-28
申请号：US13326768
申请日：2011-12-15
申请人： Jae Yeon Lee , Mun Sung Han , Jae Il Cho , Jae Hong Kim , Joo Chan Sohn
发明人： Jae Yeon Lee , Mun Sung Han , Jae Il Cho , Jae Hong Kim , Joo Chan Sohn
IPC分类号： G10L15/20
CPC分类号： G10L21/0208 , G10L15/20
摘要： The present invention has been made in an effort to provide an apparatus for removing noise for sound/voice recognition removing a TV sound corresponding to a noise signal by using an adaptive filter capable of adapting a filter coefficient in order to remove an analogue signal and performing sound and/or voice recognition and a method thereof.
摘要翻译：本发明的目的是提供一种用于去除噪声的装置，用于通过使用能够适应滤波器系数的自适应滤波器去除与噪声信号相对应的TV声音，以去除模拟信号并执行声音和/或语音识别及其方法。

4. 发明授权

US08793134B2 System and method for integrating gesture and sound for controlling device 有权
标题翻译：用于集成手势和声音的控制装置的系统和方法
公开(公告)号：US08793134B2
公开(公告)日：2014-07-29
申请号：US13333773
申请日：2011-12-21
申请人： Mun Sung Han , Young Giu Jung , Hyun Kim , Jae Hong Kim , Joo Chan Sohn
发明人： Mun Sung Han , Young Giu Jung , Hyun Kim , Jae Hong Kim , Joo Chan Sohn
IPC分类号： G06F3/00
CPC分类号： G08C23/00 , G06F3/017 , G06F3/038 , G06F2203/0381 , G10L15/22
摘要： Disclosed is a system for integrating gestures and sounds including: a gesture recognition unit that extracts gesture feature information corresponding to user commands from image information and acquires gesture recognition information from the gesture feature information; a background recognition unit acquiring background sound information using the predetermined background sound model from the sound information; a sound recognition unit that extracts the sound feature information corresponding to user commands from the sound information and extracts the sound feature information based on the background sound information and acquires the sound recognition information from the sound feature information; and an integration unit that generates integration information by integrating the gesture recognition information and the sound recognition information.
摘要翻译：公开了一种用于整合手势和声音的系统，包括：手势识别单元，从图像信息中提取与用户命令相对应的手势特征信息，并从手势特征信息获取手势识别信息; 背景识别单元，使用来自声音信息的预定背景声音模型获取背景声音信息; 声音识别单元，从声音信息提取与用户命令相对应的声音特征信息，并且基于背景声音信息提取声音特征信息，并从声音特征信息获取声音识别信息; 以及整合单元，其通过对手势识别信息和声音识别信息进行积分来生成积分信息。

5. 发明授权

US07613611B2 Method and apparatus for vocal-cord signal recognition 有权
标题翻译：用于声带信号识别的方法和装置
公开(公告)号：US07613611B2
公开(公告)日：2009-11-03
申请号：US11140105
申请日：2005-05-26
申请人： Kwan Hyun Cho , Mun Sung Han , Young Giu Jung , Hee Sook Shin , Jun Seok Park , Dong Won Han
发明人： Kwan Hyun Cho , Mun Sung Han , Young Giu Jung , Hee Sook Shin , Jun Seok Park , Dong Won Han
IPC分类号： G10L13/02
CPC分类号： G10L15/10 , G10L15/24 , G10L25/93 , G10L2021/02168
摘要： Provided is a method and an apparatus for vocal-cord signal recognition. A signal processing unit receives and digitalizes a vocal cord signal, and a noise removing unit which channel noise included in the vocal cord signal. A feature extracting unit extracts a feature vector from the vocal cord signal, which has the channel noise removed therefrom, and a recognizing unit calculates a similarity between the vocal cord signal and the learned model parameter. Consequently, the apparatus is robust in a noisy environment.
摘要翻译：提供了一种用于声带信号识别的方法和装置。信号处理单元接收和数字化声带信号，以及噪声去除单元，其噪声包括在声带信号中。特征提取单元从声带信号中提取出具有信道噪声的特征向量，并且识别单元计算声带信号和学习模型参数之间的相似度。因此，该装置在嘈杂的环境中是坚固的。

6. 发明申请

US20100077261A1 APPARATUS AND METHOD FOR ENCODING THE FIVE SENSES INFORMATION, SYSTEM AND METHOD FOR PROVIDING REALISTIC SERVICE USING FIVE SENSES INTEGRATION INTERFACE 审中-公开
标题翻译：用于编码五感觉信息的装置和方法，使用五个感测集成接口提供现实服务的系统和方法
公开(公告)号：US20100077261A1
公开(公告)日：2010-03-25
申请号：US12516471
申请日：2007-12-03
申请人： Young Giu Jung , Mun Sung Han , Jun Seok Park
发明人： Young Giu Jung , Mun Sung Han , Jun Seok Park
IPC分类号： G06F11/07 , G06F17/00 , G06F3/16 , G06F19/00 , G09B25/00
CPC分类号： G06Q30/0603 , G06Q10/04
摘要： The present invention relates to a realistic service and system using a five senses integrated interface, and more particularly, to an apparatus and method for encoding the five senses and a system and method for providing realistic service using a five senses integrated interface, to allow a user to select a product to sensorially experience through an integrated interface in a remote location, which includes a integration recognizer detecting data selected by the user and recognizing an object, and transmitting five senses data of the object through a network, a five senses data analyzer receiving a five senses data packet including the five senses data of the object through the network, and extracting and analyzing the five senses data packet in terms of data on each of the five senses, and a five senses integration representer representing five senses using the data on each of the five senses.
摘要翻译：本发明涉及一种使用五感综合接口的现实服务和系统，更具体地说，涉及一种用于对五种感觉进行编码的装置和方法以及一种使用五感式集成接口提供逼真服务的系统和方法，用户通过远程位置的集成界面来选择产品进行感官体验，其中包括集成识别器检测用户选择的数据并识别对象，并通过网络传输对象的五个感官数据，五个感官数据分析器通过网络接收包括对象的五个感官数据的五个感测数据分组，并且根据五个感官中的每一个的数据提取和分析五个感官数据分组，以及使用该数据表示五个感觉的五个感官集成表示器在五种感官中的每一种上。

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